WO2016074512A1 - Illumination control method, device, and system - Google Patents

Abstract

An illumination control method, device, and system, the illumination control method comprising: obtaining a dimming signal of an illuminant; controlling the illuminant to emit light according to the dimming signal. The method solves the technical problem that current lighting control technologies are incapable of quantitatively and accurately enhancing the color of the illuminated object to be detected.

Description

Lighting control method, device and system Technical field

The present invention relates to the field of illumination, and in particular to a lighting control method, apparatus and system.

Background technique

With the maturity of semiconductor lighting technology, color-adjustable light sources with red, green, blue and other color light sources mixed to produce white light are widely used in the lighting of shopping malls, supermarkets and museums. In these applications, goods or exhibits are usually highlighted by luminaires, and these applications have certain requirements for the color temperature of the lighting. Therefore, it is important to adjust the output light color of the color tunable light source so that the object to be tested is bright and attractive to the observer at the reference color temperature. The lighting control method for increasing the vividness of the color of the object to be tested has a good application prospect in terms of commercial and art exhibitions. For example, Philips' supermarket lighting solutions adjust the color and color temperature of different products to make the food look more attractive. For example, using light pink light to shoot beef to make the beef look fresh and juicy, and the seafood products with cold white light make the seafood look fresh. Other merchants use a control light source to make the output light have a higher color rendering index (CRI) or higher color accuracy to increase the vividness of the color of the object to be tested.

It should be noted here that the existing dimming technology dimming control method is simple, and simply replaces the color of the light with the color of the object to be tested, and changes the color tone of the object to be tested while improving the color saturation of the object to be tested. Or focus on improving the output light color quality of the color-adjustable light source, and controlling the light output by the light source to have a higher color rendering index or higher color accuracy, regardless of the influence of the light color on the target object, so To enhance the effect of the color of the target object. For example, the color of a human face under a high CRI luminaire may be unnatural because it does not have a high color rendering index for the skin color and does not achieve the effect of enhancing the color, so that the color of the object to be tested cannot be quantitatively and accurately enhanced. Moreover, the color of the object to be tested around the object to be tested is distorted while increasing the color saturation of the object to be tested.

In addition, the prior art lighting control method uses a color sensor to obtain the color of the target object, obtains a driving light signal by calculating the color information of the target object, and adjusts the adjusted color adjustable light source according to the lighting driving signal to make the color adjustable light source The illumination of the target object is performed to enhance the target color of the target object, and the color of the target object is automatically recognized to adjust the light to enhance the color of the target object, but the entire process data is computationally intensive, resulting in slow processing speed.

In view of the fact that the existing lighting control technology cannot quantitatively and accurately enhance the color of the object to be tested, an effective solution has not yet been proposed.

Summary of the invention

Embodiments of the present invention provide a lighting control method, apparatus, and system to at least solve the technical problem that the existing lighting control technology cannot quantitatively and accurately enhance the color of the object to be tested.

According to an aspect of an embodiment of the present invention, a lighting control method includes: acquiring a dimming signal of an illuminating body; and controlling illuminating body illuminating according to the dimming signal.

Further, acquiring the dimming signal of the illuminating body comprises: receiving a reference light source color temperature input by the user, a reflectivity type of the surface of the object to be tested, and a illuminating body spectral type; and using the reflectivity type of the surface of the object to be tested to obtain a test from the memory The reflectance distribution of the surface of the object; the reference light source spectrum of the illuminating body and the color coordinates of the reference light source are obtained by querying the color temperature of the reference light source, and the spectrum of each color channel of the illuminating body is obtained by querying from the memory using the illuminating body spectral type, wherein the illuminating body is The object to be tested provides a condensable light source; the radiant flux is calculated according to the reference light source spectrum of the illuminating body, the reference source color coordinate, the reflectance distribution spectrum of the surface of the object to be tested, and the spectrum of each color channel of the illuminating body, and the target corresponding to the illuminating body is obtained. Radiation flux; converts the target radiant flux into a dimming signal for each color channel of the illuminator.

Further, the radiant flux calculation is performed according to the reference light source spectrum of the illuminating body, the reference source color coordinate, the reflectance distribution spectrum of the surface of the object to be tested, and the spectrum of each color channel of the illuminating body, and the target radiant flux corresponding to the illuminating body is obtained: Calculating the color coordinates of the object under test under the reference light source; obtaining the color coordinates of the maximum saturation that the object to be measured can be achieved under the condensable light source; calculating the color coordinates of the object under the reference light source and the object to be tested The maximum saturation color coordinate that can be achieved under the reference light source, the spectrum of each color channel of the illumination body, and the target saturation level of the user input establish a calculation model of the target radiation flux corresponding to the illumination body; according to the target radiation flux corresponding to the illumination body The calculation model calculates the target radiant flux.

Further, acquiring the dimming signal of the illuminating body comprises: receiving an identification mark of the object to be detected detected by the sensor, and a reference light source color temperature and a target saturation d input by the user; and using the identification mark to query the object to be tested from the memory The reflectance distribution of the surface; the reference source spectrum is obtained from the memory using the reference source color temperature, the color coordinates of the reference source, and the color channel spectrum of the illuminator, wherein the illuminator provides a tonable source for the object to be tested; d. The reference source spectrum, the color coordinates of the reference source, the reflectance distribution of the surface of the object to be tested, and the spectrum of each color channel of the illuminator are used to calculate the radiant flux, and the target radiant flux corresponding to the illuminating body is obtained; and the target radiant flux is converted into The dimming signal of each color channel of the illuminator.

Further, according to the target saturation d, the reference source spectrum, the color coordinates of the reference source, the reflectance distribution of the surface of the object to be tested, and the spectrum of each color channel of the illuminator, the radiant flux calculation is performed, and the target radiant flux corresponding to the illuminating body is obtained. Obtaining a target color coordinate by calculation, wherein the target color coordinate is a color coordinate presented when the object to be tested reaches the target saturation d; and calculating a target radiation flux corresponding to the illuminant according to the target color coordinate; corresponding to the illuminating body The target radiant flux calculation model calculates the target radiant flux.

Further, obtaining the dimming signal of the illuminating body comprises: determining a target light color temperature value and a target color, wherein the target light color temperature value is a color temperature value of the target light, and the target color is a color that the target object needs to be enhanced; in a preset database. Searching for dimming signal data corresponding to the target light color temperature value and the target color, wherein the preset database has pre-stored dimming signal data corresponding to different light color temperature values and different colors, and controlling the illumination body illumination according to the dimming signal includes: The obtained dimming signal data is modulated to obtain a light driving signal; the lighting driving signal is used to control the illumination of the illumination body, wherein the light driving signal is used to control the illumination light emitted by the illumination body to illuminate the target object to enhance the target color of the target object. And controlling the color temperature of the light emitted by the illuminating body is the color temperature value of the target light.

Further, the preset database is obtained by: creating an optimization equation, wherein the optimization equation is used for calculating the radiation flux, and the radiation flux is a physical quantity indicating the radiation intensity of the illumination body; performing calculation processing on the optimization equation to obtain the radiation flux An optimal solution; obtaining dimming signal data according to an optimal solution of the radiant flux; and creating a preset database, wherein the preset database is used to store the dimming signal data.

Further, an optimization equation is created by creating a target equation, wherein the target equation is a spectrum of a standard light source, a tristimulus value function of a human eye, a reflectance data of a standard diffuse reflector, and a counter of a target color sample. An equation created by the radiance data, the relative spectrum of the illuminant, and the radiant flux; a constraint equation is created, where the constraint equation is the spectrum of the standard source, the color temperature of the target light, the tristimulus value of the human eye, and the reflection of the standard diffuse reflector The rate data, the reflectance data of the target color sample, the reflectance data of the contrast color samples of the target color sample, the equations created by the relative spectra of the illuminants, and the radiant flux; and the optimization equations are created by the target equation and the constraint equation.

Further, acquiring the dimming signal of the illuminating body includes: acquiring a color parameter of the target object; searching for a target color sample in the first preset database, wherein the target color sample is a color sample corresponding to the color parameter, wherein the first pre- Setting a color parameter corresponding to different color samples and different color samples in the database; searching for the dimming signal data corresponding to the target color sample in the second preset database, wherein the second preset database is pre-stored corresponding to Dimming signal data of different target color samples; controlling the illumination of the illumination body according to the dimming signal comprises: modulating the obtained dimming signal data to obtain a light driving signal; controlling the illumination of the illumination body by the driving signal of the light, wherein the driving signal of the light It is used to control the light emitted by the illuminating body to illuminate the target object to enhance the color of the target object.

Further, the color parameter of the target object is acquired by the following method, wherein the color parameter includes a plurality of color parameters including a tone value and a saturation value: acquiring an image of the target object; performing white balance processing on the image of the target object Obtaining an image of the processed target object; determining a target area in the image of the processed target object; determining a main color of the target area; determining a color component value of the main color of the target area; and converting the color component value into a hue value and Saturation value.

According to another aspect of the embodiments of the present invention, there is also provided a lighting control apparatus, comprising: an acquisition total module for acquiring a dimming signal of an illuminating body; and a control total module for controlling illuminating body illumination according to the dimming signal .

Further, the acquiring total module includes: a receiving module, configured to receive a reference light source color temperature input by the user, a reflectance type of the surface of the object to be tested, and a spectral type of the illuminating body; and a query module for using a reflectance type of the surface of the object to be tested The memory is queried to obtain the reflectance distribution of the surface of the object to be tested; the query module is further configured to use the reference source color temperature to query the reference source spectrum of the illuminant from the memory, the reference source color coordinate, and use the illuminant spectrum type to query and obtain illumination from the memory. Each color channel spectrum, wherein the illuminating body provides a condensable light source for the object to be tested; a calculation module for the reference light source spectrum according to the illuminating body, the reference source color coordinate, the reflectance distribution spectrum of the surface of the object to be tested, and the illuminating body Each color channel spectrum is subjected to radiant flux calculation to obtain a target radiant flux corresponding to the illuminating body; and a conversion module is configured to convert the target radiant flux into a dimming signal of each color channel of the illuminating body.

Further, the acquiring total module includes: a receiving module, configured to receive an identifier of the object to be detected detected by the sensor, and a reference light source color temperature and a target saturation d input by the user; and a query module, configured to use the identifier from the memory The query obtains the reflectance distribution of the surface of the object to be tested; the query module is also used to query the reference source spectrum, the color coordinates of the reference source, and the spectrum of each color channel of the illumination body by using the reference source color temperature from the memory, wherein the illumination body is to be tested The object provides a condensable light source; the calculation module calculates the radiant flux according to the target saturation d, the reference source spectrum, the color coordinates of the reference source, the reflectance distribution of the surface of the object to be tested, and the spectrum of each color channel of the illuminator to obtain an illuminating body. Corresponding target radiant flux; a conversion module for converting the target radiant flux into a dimming signal of each color channel of the illuminating body.

Further, the acquiring the total module includes: acquiring the total module, comprising: a determining unit, configured to determine a target light color temperature value and a target color, wherein the target light color temperature value is a color temperature value of the target light, and the target color is a color that the target object needs to be enhanced. a searching unit, configured to search, in the preset database, the dimming signal data corresponding to the target light color temperature value and the target color, wherein the preset database has pre-stored dimming signal data corresponding to different light color temperature values and different colors, The control module includes: an obtaining unit, configured to obtain a light driving signal by the obtained dimming signal data; and a control unit configured to control the lighting body to emit light according to the lighting driving signal, wherein the lighting driver The motion signal is used to control the light emitted by the illuminating body to enhance the target color of the target object, and to control the color temperature value of the light emitted by the illuminating body as the color temperature value of the target light.

Further, the acquiring the total module includes: a first acquiring unit, configured to acquire a color parameter of the target object; and a first searching unit, configured to search for a target color sample corresponding to the color parameter in the first preset database, where the first pre- Setting a color parameter corresponding to a different color sample and a different color sample in the database; the second searching unit is configured to search for the dimming signal data corresponding to the target color sample in the second preset database, wherein the second preset The dimming signal data corresponding to different target color samples is prestored in the database; the control total module comprises: a second acquiring unit, configured to modulate the obtained dimming signal data to obtain a light driving signal; and a control unit for the light The driving signal controls the illumination of the illumination body, wherein the illumination driving signal is used to control the illumination emitted by the illumination body to illuminate the target object to enhance the target color of the target object.

According to another aspect of an embodiment of the present invention, there is also provided a lighting control system comprising: an illuminating body; and a general controller for acquiring a dimming signal of the illuminating body and controlling the illuminating body illuminating according to the dimming signal.

Further, the total controller includes: a memory for storing each color channel spectrum of the illuminating body, a reference light source spectrum of the illuminating body, a reference source color coordinate, and a reflectance distribution spectrum of the surface of the object to be tested; and a controller for receiving the user Input reference source color temperature, reflectance type of the object to be tested, and illuminant spectrum type, use the reflectivity type of the surface of the object to query the reflectance distribution spectrum of the surface of the object to be tested; use the reference source color temperature from the memory The reference light source and the reference light source color coordinate of the illumination body are obtained by querying, and the spectrum of each color channel of the illumination body is obtained by using the illumination body spectrum type from the memory, according to the reference light source, the reference source color coordinate, the reflectance distribution of the surface of the object to be tested, and the illumination body. Each color channel spectrum is subjected to radiant flux calculation to obtain a target radiant flux corresponding to the illuminating body; the target radiant flux is converted into a dimming signal of each color channel provided by the illuminating body, wherein the illuminating body is used to provide the object to be tested A gradable light source.

Further, the total controller includes: a memory for storing each color channel spectrum of the illuminating body, a reference light source spectrum of the illuminating body, a spectral color coordinate of the reference light source, and a reflectance distribution of the surface of the object to be tested; and a sensor for sensing The identification mark is transmitted to the controller, wherein the identification mark is associated with the object to be tested; the controller is configured to receive the identification mark of the object to be tested detected by the sensor, and the reference light source color temperature and target saturation d used by the user The identification mark is queried from the memory to obtain a reflectance distribution of the surface of the object to be tested; the reference light source spectrum of the illuminating body, the spectral color coordinate of the reference light source, and the spectrum of each color channel of the illuminating body are obtained by using the reference light source color temperature from the memory, according to the target saturation d The reference source spectrum of the illuminating body, the spectral color coordinate of the reference source, the reflectance distribution of the surface of the object to be tested, and the radiance flux of each color channel of the illuminator are calculated to obtain the target radiant flux corresponding to the illuminating body; a dimming signal converted into a color channel of the illuminator, wherein the illuminating body is used for The toner was measured to provide a light source.

Further, the total controller includes: a memory, configured to store a preset database, wherein the preset database prestores dimming signal data corresponding to different light color temperature values and different colors; and the controller is configured to receive the target light color temperature The value and the target color, wherein the target light color temperature value is the color temperature value of the target light, the target color refers to the color that the target object needs to be enhanced, and the dimming signal data corresponding to the target light color temperature value and the target color is searched in the preset database, The light driving signal is obtained by searching the obtained dimming signal data, and the lighting body is controlled to emit light by the light driving signal, wherein the light driving signal is used for controlling the light emitted by the lighting body to enhance the target color of the target object, and controlling the emitted by the lighting body. The color temperature of the light is the color temperature value of the target light, and the illuminating body is used to provide a light source for the target object.

Further, the total controller includes: a sensor for acquiring an image of the target object; and a memory for storing the preset database, wherein the preset database includes a plurality of preset databases, and the plurality of preset databases include a first preset database and a second preset database, wherein the first preset database prestores different color samples and color parameters corresponding to different color samples, and the second preset database prestores dimming corresponding to different color samples. a signal data, a controller, configured to receive an image of the target object, determine an color parameter of the target object by using an image of the target object, search for a color sample corresponding to the color parameter in the first preset database, and search for a second preset database The dimming signal data corresponding to the color sample is modulated to obtain the dimming signal data to obtain a light driving signal; the lighting driving signal is used to control the illumination of the illumination body, wherein the light driving signal is used to control the illumination target emitted by the illumination body The object is such that the color of the target object is enhanced, wherein the illuminating body is used to provide a light source for the target object.

In the embodiment of the present invention, by acquiring the dimming signal of the illuminating body and controlling the illuminating body illuminating according to the dimming signal, the purpose of quantitatively and accurately enhancing the color of the object to be tested is achieved, thereby enhancing the surface of the object to be tested. The technical effect of color saturation further solves the technical problem that the existing lighting control technology cannot quantitatively and accurately enhance the color of the object to be tested.

DRAWINGS

The drawings described herein are intended to provide a further understanding of the invention, and are intended to be a part of the invention. In the drawing:

1 is a flow chart of a lighting control method according to a first embodiment of the present invention;

2 is a flow chart of a lighting control method according to a second embodiment of the present invention;

3 is a schematic view showing a color range of a test object under a fixed light source according to a second embodiment of the present invention;

4 is a schematic diagram of a white light region function according to a second embodiment of the present invention;

Figure 5 is a flow chart of an alternative lighting control method in accordance with a second embodiment of the present invention;

6 is a system block diagram of a method for increasing the color vividness of an object to be tested with a white light constraint according to a second embodiment of the present invention;

7 is a schematic diagram of a software interface for a user to input a reference color temperature according to a second embodiment of the present invention;

Figure 8 is data of a bag reflectance according to a second embodiment of the present invention;

Figure 9 is a schematic diagram showing the spectral distribution of D65 according to a second embodiment of the present invention;

10 is a schematic diagram showing a four-channel spectral distribution of a light source provided by an illuminating body according to a second embodiment of the present invention;

Figure 11 is a schematic illustration of a color gamut of a purse under a four-channel lamp in accordance with a second embodiment of the present invention;

Figure 12 is a flowchart of a lighting control method according to a third embodiment of the present invention;

13 is a schematic diagram of a color range of a third object under a fixed light source according to an embodiment of the invention;

Figure 14 is a block diagram showing a system for increasing the color saturation of a sample to be tested according to a third embodiment of the present invention;

Figure 15 is a flow chart of an alternative lighting control method in accordance with a third embodiment of the present invention;

16 is a schematic diagram of an optional user software interface in accordance with a third embodiment of the present invention;

Figure 17 is a diagram showing the distribution of reflectance data of a purse according to a third embodiment of the present invention;

Figure 18 is a schematic diagram showing the spectral distribution of D65 according to a third embodiment of the present invention;

Figure 19 is a schematic view showing a four-channel spectral distribution of a lamp according to a third embodiment of the present invention;

Figure 20 is a gamut diagram of a purse under a four-channel lamp in accordance with a third embodiment of the present invention;

Figure 21 is a flowchart of a lighting control method according to a fourth embodiment of the present invention;

Figure 22 is a diagram showing the relationship between the color coordinates of a standard diffuse reflector and the coordinates of a target color sample according to a fourth embodiment of the present invention;

Figure 23 is a schematic illustration of a color temperature tolerance quadrilateral specified by the ANSI 78.377 standard in accordance with a fourth embodiment of the present invention;

Figure 24 is a flowchart of a lighting control method according to a fifth embodiment of the present invention;

Figure 25 is a schematic illustration of a lighting control apparatus in accordance with a first embodiment of the present invention;

Figure 26 is a schematic illustration of a lighting control apparatus in accordance with a second embodiment of the present invention;

Figure 27 is a schematic illustration of a lighting control apparatus in accordance with a third embodiment of the present invention;

Figure 28 is a schematic illustration of a lighting control apparatus in accordance with a fourth embodiment of the present invention;

Figure 29 is a schematic illustration of an alternative lighting control apparatus in accordance with a fourth embodiment of the present invention;

Figure 30 is a schematic illustration of another alternative lighting control apparatus in accordance with a fourth embodiment of the present invention;

Figure 31 is a schematic illustration of a lighting control apparatus in accordance with a fifth embodiment of the present invention;

Figure 32 is a schematic illustration of an alternative lighting control apparatus in accordance with a fifth embodiment of the present invention;

Figure 33 is a schematic illustration of another alternative lighting control apparatus in accordance with a fifth embodiment of the present invention;

Figure 34 is a schematic illustration of another alternative lighting control apparatus in accordance with a fifth embodiment of the present invention;

Figure 35 is a schematic illustration of a lighting control system in accordance with a first embodiment of the present invention;

Figure 36 is a schematic illustration of a lighting control system in accordance with a second embodiment of the present invention;

Figure 37 is a schematic illustration of a lighting control system in accordance with a third embodiment of the present invention;

Figure 38 is a schematic illustration of a lighting control system in accordance with a fourth embodiment of the present invention;

Figure 39 is a schematic illustration of a lighting control system in accordance with a fifth embodiment of the present invention.

detailed description

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is an embodiment of the invention, but not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of the present invention.

It is to be understood that the terms "first", "second" and the like in the specification and claims of the present invention are used to distinguish similar objects, and are not necessarily used to describe a particular order or order. It is to be understood that the data so used may be interchanged where appropriate, so that the embodiments of the invention described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "comprises" and "comprises" and "the" and "the" are intended to cover a non-exclusive inclusion, for example, a process, method, system, product, or device that comprises a series of steps or units is not necessarily limited to Those steps or units may include other steps or units not explicitly listed or inherent to such processes, methods, products or devices.

In accordance with an embodiment of the present invention, a method embodiment of a lighting control method is provided, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and Although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in a different order than the ones described herein.

1 is a flow chart of a lighting control method according to a first embodiment of the present invention. As shown in FIG. 1, the lighting control method includes the following steps:

Step S102, acquiring a dimming signal of the illuminating body;

Step S104, controlling the illumination of the illumination body according to the dimming signal.

Through the above steps, the technical effect of enhancing the color saturation of the surface of the object to be tested can be realized, thereby solving the technical problem that the existing lighting control technology cannot quantitatively and accurately enhance the color of the object to be tested.

Example 1

According to an embodiment of the present invention, a method of lighting control is provided, and FIG. 2 is a flowchart of a lighting control method according to a second embodiment of the present invention. As shown in FIG. 2, the method includes:

Step S101, receiving a reference light source color temperature input by the user, a reflectance type of the surface of the object to be tested, and a illuminating body spectral type.

Specifically, the user can input the color temperature of the reference light source, the reflectance type of the surface of the object to be tested, and the spectrum type of the illuminating body through the interaction device. The interaction device may be a remote controller. In combination with FIG. 7, the user can use the remote controller to use the software interface. Take action.

Step S103, using the reflectivity type of the surface of the object to be tested, the reflectance distribution spectrum of the surface of the object to be tested is obtained from the memory.

Step S105, using the reference light source color temperature to query the reference light source of the illumination body and the reference light source color coordinate, and querying the spectrum of each channel of the light source from the memory by using the illumination body spectral type, wherein the illumination body provides the light source for the object to be tested.

Specifically, the spectrum of each channel of the light source, the reference light source, the reference source color coordinate, and the reflectance distribution spectrum of the surface of the object to be tested may be pre-stored in the memory. It should be noted that the reference color temperature input by the user in step S101 corresponds to the above memory. The source spectrum, the reference source color coordinates, and the source channel spectrum.

Step S107, calculating the radiant flux according to the reference light source of the illuminating body, the reference source color coordinate, the reflectance distribution spectrum of the surface of the object to be tested, and the spectrum of each channel of the light source, to obtain the target radiant flux corresponding to the illuminating body;

In step S109, the target radiant flux is converted into a dimming signal of each color channel provided by the illuminating body.

Specifically, each of the color channels may illuminate the object to be tested according to the target radiant white light, and the color of the object to be tested may be used to maximize the color saturation of the object and the color tone of the object to be tested around the object to be tested. Not distorted.

In the above embodiment of the present application, the surface reflectance distribution of the object to be tested, the spectral distribution of the illuminating body, and the color temperature of the reference light source are used to adjust the spectrum of the output light of the illuminating body, so that the output light of the illuminating body is constrained to white light. The color saturation of the object to be tested is enhanced under the illumination of the above white light, and the color tone is not changed, which solves the problem that the existing light control technology only improves the light color quality of the light itself or simply changes the color of the light to the object to be tested. The color cannot accurately and quantitatively enhance the color saturation of the object to be tested and at the same time distort the color of the object to be tested around the object to be tested.

Optionally, in step S107, the radiant flux calculation is performed according to the reference light source of the illuminating body, the reference source color coordinate, the reflectance distribution spectrum of the surface of the object to be tested, and the spectrum of each color channel provided by the illuminating body, to obtain the target radiant corresponding to the illuminating body. The steps of the flux can include:

Step S201, obtaining color coordinates (x _o , y _o ) of the object under test under the reference light source by calculation;

Specifically, the reference light source may be pre-stored in the memory by the user, or may be input into the system by the user in real time. It should be noted that the color coordinates (x _o , y _o ) may be CIE1931 xy color coordinates, CIE1960 uv. Color coordinates, CIE1976 Luv color coordinates, CIE1976Lab color coordinates, etc. Here CIE1931 xy color coordinates are used.

Step S203, obtaining color coordinates of the maximum saturation that the object to be tested can reach under the tonable light source by calculation

光源各通道光谱和用户输入的目标饱和度水平建立照明体对应的目标辐通量的计算模型；Step S205, according to the color coordinate (x _o , y _o ) of the object under test under the reference light source, the maximum saturation color coordinate that the object to be tested can reach under the reference light source

A spectrum of each channel of the light source and a target saturation level input by the user establish a calculation model of the target radiant flux corresponding to the illuminating body;

Step S207, calculating a target radiant flux according to a calculation model of the target radiant flux corresponding to the illuminating body.

Specifically, the calculation model of the target radiation flux can be obtained by an existing mature algorithm, and the target radiation flux is a global optimal solution.

Optionally, in step S201, the step of obtaining the color coordinates (x _o , y _o ) of the object under test by the reference light source may include:

In step S300, the tristimulus values of the color of the object under the reference light source are calculated by the following formula, which are respectively represented as X _o , Y _o , Z _o .

是CIE人眼三刺激值函数。物体的反射率分布可以由用户实际测得然后输入设备，或者采用事先存在存储器中的该种物体的标准反射率分布。参考光源的光谱使用不同色温的标准照明体的光谱，色温由用户选择，参考光源的光谱也可以由用户手动输入。Where r(λ) is the reflectance distribution of the surface of the object to be tested, and s(λ) is the reference source spectrum.

It is a CIE human eye tristimulus value function. The reflectance distribution of the object can be measured by the user and then input to the device, or a standard reflectance distribution of the object pre-existing in the memory. The spectrum of the reference source uses the spectrum of a standard illuminator of different color temperatures. The color temperature is selected by the user and the spectrum of the reference source can also be manually entered by the user.

The conversion formula of XYZ->CIE1931 xy of colorimetry is obtained by converting the tristimulus value XYZ of the object color to (x _o , y _o ):

的步骤可以包括：Optionally, in step S2073, the color coordinate of the maximum saturation that can be achieved under the condensable light source is obtained by calculation.

The steps can include:

Step S401, obtaining color coordinates (x _r , y _r ) of the reference light source from the memory;

Step S403, according to the color coordinates (x _o , y _o ) of the object under the reference light source, the color coordinates (x _r , y _r ) of the reference light source, the reference light source, the reflectance distribution spectrum of the surface of the object to be tested, and the light source. Channel spectrum calculation

是(x_o，y_o)和(x_r，y_r)的连线和上述三角形颜色范围的交点，所以可以根据由(x_o，y_o)和(x_r，y_r)的连线和上述色域构建函数计算上述待测物在参考光源下能达到的最大饱和度的色坐标

这里

的饱和度增加的水平被认为是100％。Specifically, as shown in FIG. 3, FIG. 3 is a coordinate range of the object to be tested surrounded by three points R, G, and B, that is, the coordinate point indicating the color value of the object to be tested that can be rendered by the light source. It falls within the triangle enclosed by the three points of R, G, and B. The above triangle may be a color gamut, and the color gamut may be calculated by the spectrum of each channel of the light source provided by the illumination lamp and the reflection spectrum of the surface of the object to be tested, (x _o , y _o ) is the color of the object under test under the reference light source. The coordinates, (x _r , y _r ) are the color coordinates of the reference source. From the colorimetric, the color coordinates (x _o , y _o ) of the object under the reference source and the color coordinates of the reference source (x _r , The color of all the colors on the line of y _r ) is the same. The farther the color point is from the color point of the reference source, the higher the saturation of the color. From Figure 3, the color coordinates of the maximum saturation that the object under test can reach under the reference source can be seen.

Is the intersection of (x _o , y _o ) and (x _r , y _r ) and the above-mentioned triangle color range, so it can be based on the connection of (x _o , y _o ) and (x _r , y _r ) The color gamut constructing function calculates the color coordinate of the maximum saturation that the object to be tested can reach under the reference light source

Here

The level of increase in saturation is considered to be 100%.

光源各通道光谱和参考光源色坐标建立照明体对应的目标辐通量的计算模型，上述计算模型可以包括：Optionally, in step S205, according to the color coordinates (x _o , y _o ) of the object under test under the reference light source, the maximum saturation color coordinate that the object to be tested can reach under the light source

The spectrum of each channel of the light source and the color coordinates of the reference source establish a calculation model of the target radiant flux corresponding to the illuminating body, and the above calculation model may include:

Establishing at least four constraints defines the range of values of the radiant flux vector p. The constraints include:

Constraint 1: The total flux of all color channels is greater than zero.

Constraint 2: The luminous flux of each color channel is not greater than the maximum luminous flux of the channel.

Constraint 3: The color coordinate point of the object to be tested is on the line connecting (x _r , y _r ) and (x _o , y _o ).

Constraint 4: The color coordinate point of the light is within the set white light area.

的距离。目标方程是最小化d与总光通量的加权和,其中后者作为可选，即可以加在目标方程里也可以不加。Use d to indicate the color coordinates of the object to be tested

the distance. The objective equation is to minimize the weighted sum of d and total luminous flux, with the latter being optional, either added to the target equation or not.

The solution with multiple radiant flux vectors p is within the defined range of values, and the only optimal solution that minimizes the value of the objective equation is determined by solving the mathematical optimization problem. This process is implemented by solving a linear programming problem.

It should be noted here that the second term of the objective equation can be any linear or nonlinear equation related to the radiant flux vector p. For example, the total luminous flux, light efficiency, CRI, etc. of all color channels. The process of determining the optimal solution within a limited range of values can be achieved by establishing a linear programming problem, or by other methods, such as traversing all valid solutions in the range of values to find the optimal solution.

Wherein, the luminous flux of each channel is equal to the luminous flux of the channel multiplied by the luminous flux converted by the radiation flux of the channel 1w.

It should be noted here that the color coordinates of the object to be tested can be represented by the reflection spectrum of the object to be tested, the CIE human eye tristimulus value function, the relative spectral distribution of each channel of the illumination body, and the radiation flux vector p.

Specifically, the derivation process of the above calculation model is described in detail below with reference to FIG. 3 to FIG. 5:

表示在此光源下待测物所能达到最大饱和度的颜色点。不难看出点

应是(x_r，y_r)和(x_o，y_o)的连线和上述三角形颜色范围的交点，如图3所示。In fact, when the light source has n color channels, the color of the object to be tested illuminated by the light source can be regarded as a mixture of colors reached by the object to be tested under illumination of each of the monochromatic color channels in the light source. Therefore, on the CIE1931xy chromaticity diagram, in the case of only one light source, the color point of the object to be tested can only be achieved in the color gamut where the object to be tested is respectively illuminated by the color points of the n color channels. At the same time, when the reflectance of the analyte and the spectrum of the light source are determined, the color range of the object under the light source is also determined. For example, the light source is composed of three colors of red, green and blue LEDs, and R, G, and B respectively represent the color values of the object to be tested under the illumination of the red LED, the green LED, and the blue LED. Figure 3 shows the range of color of the object to be tested enclosed by three points R, G, and B. That is, the coordinate point indicating the color value of the object to be tested that can be rendered by this light source can only fall within the triangle surrounded by the three points of R, G, and B. Let the CIE1931xy color coordinate of the color of the object under reference light be (x _o , y _o ). From colorimetry, we can see that all the color points of the reference light color point (x _r , y _r ) and the color point of the object to be tested (x _o , y _o ) are consistent. The farther the color point is from the reference light color, the higher the saturation of the color. point

Indicates the color point at which the object under test can reach maximum saturation. It’s not hard to see

It should be the intersection of the line of (x _r , y _r ) and (x _o , y _o ) and the above-mentioned triangle color range, as shown in Fig. 3.

The equation of the line connecting the reference light color point (x _r , y _r ) and the color point of the object to be tested (x _o , y _o ) can be expressed as:

y=kx+b (1)

Let the color point we want to optimize is (x' _o , y' _o ). Since the color hue should remain unchanged, (x' _o , y' _o ) needs to satisfy the formula (1). The expression for (x' _o , y' _o ) is:

其中，

among them,

a _yo

a _zo

是灯具各通道的相对光谱能量分布。照明体提供的各光源的不同颜色通道的光谱可以由用户事先测得然后输入设备。

It is the relative spectral energy distribution of each channel of the luminaire. The spectrum of the different color channels of each light source provided by the illuminating body can be measured in advance by the user and then input to the device.

之间的距离来实现。(x′_o，y′_o)和

之间的距离表示为：

In order to increase the saturation of the color of the object to be tested, we can minimize (x' _o , y' _o ) and

The distance between them is achieved. (x' _o , y' _o ) and

The distance between them is expressed as:

In most cases the color of the light is limited to white light. The ANSI C78.377 standard specifies eight quadrilaterals for eight color temperature points. We limit the color of the light to the white light area enclosed by these quadrilaterals. Here we make a piecewise linear fit to the white light area. The curve of the white light area piecewise function is shown in Fig. 4. In the CIE1931 xy coordinate system, the entire white light region is divided into two blocks, and the x-coordinates range from [x _min , x _mid ] and [x _mid , x _max ]. The piecewise linear fitting function of the upper limit of the white light region is:

The piecewise linear fit function for the lower bound of the white light region is:

The xy coordinate of the light color can be calculated by the following formula.

其中，

among them,

a_y表示

a_z表示

a _y indicates

a _z indicates

At the same time, the luminous flux Φ _i and the radiant flux of each channel satisfy the following relationship. Φ _i =Φ _vi ·p _i ,i=1,...,n

Where p _i is the ith component of the vector p, and Φ _vi is the luminous flux converted by the radii flux of the i-th channel 1W, which is obtained by integrating the following equation.

是第i个颜色通道的相对光谱分布，v(λ)是人眼明视觉光谱光效分布。因此总光通是

Where k _m is a constant and is 673.

Is the relative spectral distribution of the i-th color channel, and v(λ) is the light-effect distribution of the human visual spectrum. So the total light is

之间的距离，最大化总光通量可以作为另一个目标。因此目标方程是两个目标表达式的加权和,优化问题模型表示如下。In addition to minimizing (x' _o , y' _o ) and

The distance between the maximal total luminous flux can be another target. Therefore the objective equation is the weighted sum of the two target expressions, and the optimization problem model is expressed as follows.

S.t. [1,...,1]p>0,

Φ _vi ·p _i ≤Φ _i,max ,i=1,2,...,n,

S.t. [1,...,1]p>0,

Φ _vi ·p _i ≤Φ _i,max ,i=1,2,...,n,

表示新产生的物体颜色仍然需要满足式(1)。后面的三个不等式限定灯光的色坐标在线性拟合的白光区域内。分别解以上两个式子,比较f₁和f₂的值，两个目标方程的较小值对应的最优解即是最优辐射通量。The color coordinates where λ represents the weight, and Φ _i,max represents the maximum luminous flux of the i-th color channel. In the constraint [1,...,1]p>0, the total radiant flux of the light source must be greater than 0, Φ _vi ·p _i ≤Φ _i,max defines that the luminous flux of each color channel cannot be greater than the maximum luminous flux of the color channel.

It means that the color of the newly generated object still needs to satisfy the formula (1). The latter three inequalities define the color coordinates of the light within a linearly fitted white light region. Solve the above two equations and compare the values of f ₁ and f ₂ . The optimal solution corresponding to the smaller values of the two objective equations is the optimal radiant flux.

After obtaining the optimal solution of the radiant flux of each color channel, the luminous flux Φ _{i of} each channel can be calculated by Φ _i = Φ _vi · p _i , i = 1, ..., n. The dimming signal of each color channel can be calculated from Φ _i by the characteristics of the illuminant. For example, the current value of the LED chip is proportional to the luminous flux in a stable state, and the current value of the i-th channel can be calculated from the Φ _i by the scale factor previously calibrated. The method flow described above is shown in Figure 5.

Through the analysis of the embodiments of the present invention, it can be known that the core innovation points to be protected by the present application include:

A system and method for increasing the color saturation of a sample to be measured by optimizing the spectrum of light output from the source. The system and method obtain the optimal dimming signal and adjust the light spectrum of the light source according to the spectral distribution of the color channels of the light source and the reflectivity function of the object to be tested. The color saturation of the object under test under the reference light is enhanced. At the same time, the output light of the system is white light. At the same time, the spectrum of the illumination source is fully adjusted according to the selected reference light color temperature, and the operation is simple. In the case where the spectrum of the light source is suitable, the effect of the color saturation of the object under test under the reference light can be enhanced, and the color hue of the object to be tested can be accurately aligned with the color hue under the reference light. The output light of the system is white light, which will not distort the color of the object to be tested around the object.

The following is a detailed description of the application of the implementation of the present application in a specific application scenario:

A system of an exemplary embodiment is shown in FIG. The user has previously measured the spectral distribution of each color channel in the lighting fixture in memory. The reflectance data of the surface of the object to be tested may be factory preset standard reflectance data or reflectance measured by the user in real time, and is also stored in the memory. At the same time, the reference light source distribution is also present in the memory. In use, the user specifies which analyte reflectance data to use, the luminaire spectral type and the reference source color temperature, and the information is transmitted to the controller by the user interface. The controller calls the corresponding surface reflectance data of the object to be tested in the memory, and refers to the spectral distribution data of the color channels of the light source and the illumination source. The controller implements an algorithm that calculates the color channels that the dimming signal is transmitted to the light source.

The reflectance spectrum of the analyte can be measured by the user and then input to the device, or a standard reflectance spectrum of the analyte to be present in the memory.

The spectrum of each color channel of the lighting fixture is measured by the user before inputting the device, and the spectrum of the different color temperature reference light source uses the spectrum of the standard illuminant of different color temperatures, and the color temperature is selected by the user. The spectrum of the reference source can also be manually entered by the user. Figure 7 is a software interface for the user to input the above reference light source. Once the user selects the spectrum of the reference source and the reflectivity of the object to be tested, the true color of the object to be tested can be calculated, which is represented by CIE1931xy color coordinates. As shown in Table 1, Table 1 is the color coordinates of the object under test at different color temperature sources.

Table 1: xy color coordinates of the object under test at different color temperature sources

Taking the bag as an example, the method for enhancing the color vividness of the object to be tested with white light constraint is as follows:

1. The user selects the reflectivity of the bag, the illumination source spectrum and the reference source. Assuming that the user selects a reference light source of 6500K, the xy color coordinate of the true color of the bag is (0.3455, 0.3374). The bag reflectance data is shown in Figure 7. The lighting has four channels of WRGB (white, red, green, blue). The spectra of the four channels of the reference source and the illumination fixture are shown in Figures 9 and 10.

2. Calculate the color gamut of the object under test by the spectrum of the four channels of the luminaire and the reflectance spectrum of the object to be tested, as shown in FIG. The color gamut is surrounded by a triangle, and the white light region is represented by a quadrangle within a triangle. R represents the color coordinate point of the D65 reference source, the coordinates are (0.3127, 0.3290), O represents the color coordinate point of the bag under the D65 reference source, the coordinates are (0.3455, 0.3374), and O ^* represents the bag under the lighting fixture. The color point that reaches the maximum saturation, the coordinates are (0.5783, 0.3972).

3. Establish optimization issues. Here k = 0.2067, b = 0.2487, the luminous flux converted to the 1W radiant flux of the four channels is [311, 174, 482, 46.4] (corresponding to WRGB, respectively), and the maximum luminous flux per channel is [205.9, 24.3, 51.2, 6.4] ( Corresponding to WRGB).

4. The optimal solution flux vector for solution optimization problem is [1.6665, 0, 0.2643, 0.3794] (corresponding to WRGB, respectively). The PWM dimming signals converted to four channels are (88%, 0%, 98%, 94%) (corresponding to WRGB, respectively). The color coordinate of the optimized color point of the object to be tested is (0.3668, 0.3429), which is represented by O' in Fig. 11, and the color coordinate of the optimized color point of the light is (0.3351, 0.3345), which is represented by L in Fig. 11. . You can see that the light color points on the boundary of the white light area.

According to the above process, the PWM value obtained by the illuminated object under different reference light sources can be obtained. Table 2 takes the reference light source of 6500K as an example, and gives the color color coordinates and the light color coordinates of the four objects corresponding to the objects in Table 1. Lamp PWM drive signal.

Table 1: Optimization results for different objects under 6500K reference source

Example 2

According to an embodiment of the present invention, a method of lighting control is provided, and FIG. 12 is a flowchart of a lighting control method according to a third embodiment of the present invention. As shown in FIG. 12, the method includes:

Step S101, receiving an identification mark of the object to be tested detected by the sensor, and a reference light source color temperature and a target saturation d input by the user.

Specifically, the foregoing identification mark may be placed on the surface of the object to be tested, and may be a barcode or a two-dimensional code, each of the identification marks corresponding to one object to be tested, and the target saturation d may be the saturation of the surface color of the object to be tested. It may be the color saturation that the user desires to achieve by the illumination of the illuminating body and the color of the surface of the object to be tested. The sensor in Embodiment 3 can be used to transmit an identification flag to the controller by sensing, wherein the identification flag is associated with the object to be tested.

Step S103, using the identification mark to query the memory to obtain the reflectance distribution spectrum of the surface of the object to be tested.

Step S105: Query the reference light source spectrum of the illuminating body, the color coordinate of the reference light source, and the color channel spectrum of the illuminating body by using the reference light source color temperature, wherein the illuminating body provides the light source for the object to be tested.

Specifically, the memory in the third embodiment may be used to pre-store the color channel spectrum, the reference source spectrum, the reference source color coordinate, and the reflectance distribution of the surface of the object to be tested. The reference input by the user in step S101 is described. The color temperature corresponds to the spectrum of the light source in the above memory, the spectral color coordinates of the reference source, and the spectrum of each color channel of the light source.

Step S107, calculating the radiant flux according to the target saturation d, the corresponding reference source spectrum, the reference source spectral color coordinate, the reflectance distribution of the surface of the object to be tested, and the spectrum of each color channel of the light source, to obtain the target radiant corresponding to the illuminating body. the amount.

In step S109, the target radiant flux is converted into a dimming signal of each color channel provided by the illuminating body.

Specifically, each of the light source channels illuminates the object to be tested with the radiant flux, and the color of the object to be tested can satisfy the target saturation d.

In the above embodiment of the present application, the surface reflectance of the object to be tested, the spectral distribution of the illuminating body, and the color temperature of the reference light source are used to adjust the spectrum of the output light of the illuminating body so that under the illumination of the output light of the illuminating body, The saturation of the color of the object under test light is enhanced while the color tone is not changed, which solves the problem that the existing light control technology only improves the light color quality of the light itself or simply changes the color of the light to the color of the object to be tested. The problem of the color of the object to be tested cannot be quantitatively and accurately enhanced.

Optionally, in step S107, the radiant flux is calculated according to the target saturation d, the corresponding reference source spectrum, the reference source spectral color coordinate, the reflectance distribution of the surface of the object to be tested, and the spectrum of each color channel of the light source. The steps of the target radiant flux may also include:

Step S201, obtaining target color coordinates by calculation, wherein the target color coordinates are color coordinates presented when the object to be tested reaches the target saturation d.

Step S203, a calculation model of the target radiant flux corresponding to the illuminating body is established according to the target color coordinate.

Step S205, calculating a target radiant flux according to a calculation model of the target radiant flux corresponding to the illuminating body.

Specifically, the calculation model of the target radiation flux can be obtained by an existing mature algorithm, and the target radiation flux is a global optimal solution.

Optionally, in step S201, the step of obtaining the target color coordinate by calculation includes:

In step S301, the color coordinates (x _o , y _o ) of the object under test in the spectrum of the reference light source are calculated.

Specifically, the reference light source spectrum may be stored in the memory by the user in advance, or may be input into the system by the user in real time. It should be noted that the color coordinates may be CIE1931 xy color coordinates, CIE1960 uv color coordinates, CIE1976 Luv color. Coordinates, CIE1976Lab color coordinates, etc. Here CIE1931 xy color coordinates are used.

Step S303, calculating color coordinates of the maximum saturation that the object to be tested can reach under the light source

和目标饱和度d计算出目标色坐标(x’_o，y’_o)。Step S305, according to the color coordinates (x _o , y _o ) of the object under test in the spectrum of the reference light source, the color coordinates of the maximum saturation

The target color coordinate (x' _o , y' _o ) is calculated with the target saturation d.

Optionally, the step of calculating the color coordinates (x _o , y _o ) of the object under the reference light source spectrum in step S301 may include:

In step S400, the tristimulus values of the color of the object under the reference light source are calculated by the following formula, which are represented as X _o , Y _o , Z _o , respectively.

是CIE人眼三刺激值函数。待测物的反射率分布可以由用户实际测得然后输入设备，或者采用事先存在存储器中的该种待测物的标准反射率分布。参考光源的光谱使用不同色温的标准照明体的光谱，色温由用户选择，参考光源的光谱也可以由用户手动输入。Where r(λ) is the reflectance distribution of the surface of the object to be tested, and s(λ) is the reference source spectrum.

It is a CIE human eye tristimulus value function. The reflectance distribution of the test object can be actually measured by the user and then input to the device, or a standard reflectance distribution of the test object previously stored in the memory can be used. The spectrum of the reference source uses the spectrum of a standard illuminator of different color temperatures. The color temperature is selected by the user and the spectrum of the reference source can also be manually entered by the user.

Through the conversion formula of XYZ->CIE1931 xy of colorimetry, the tristimulus value XYZ of the color of the object to be tested is converted to (x _o , y _o ).

的步骤包括：Optionally, in step S303, calculating a color coordinate of the maximum saturation that the object to be tested can reach under the condensable light source

The steps include:

Step S501, obtaining reference spectral color coordinates (x _r , y _r ) from the memory.

Step S503, according to the color coordinates (x _o , y _o ) of the object under test in the reference source spectrum, the color coordinates (x _r , y _r ) of the reference source spectrum, the reflectance distribution of the surface of the object to be tested, and the color channels of the light source. The spectrum calculates the color coordinates of the maximum saturation that the object under test can reach under the reference source.

是(x_o，y_o)和(x_r，y_r)的连线和上述三角形颜色范围的交点，所以可以根据由(x_o，y_o)和(x_r，y_r)的连线和上述色域构建函数计算上述待测物在参考光源下能达到的最大饱和度的色坐标

这里

的饱和度增加的水平被认为是100％。Specifically, as shown in FIG. 13 , FIG. 13 is a color range of the object to be tested surrounded by three points of R, G, and B, that is, a coordinate point indicating a color value of the object to be tested that can be rendered by the light source. It falls within the triangle enclosed by the three points of R, G, and B. The above triangle may be a color gamut, and the color gamut may be calculated by the spectrum of each color channel of the light source provided by the illumination lamp and the reflection spectrum of the surface of the object to be tested, (x _o , y _o ) for the object to be tested under the reference source spectrum The color coordinates, (x _r , y _r ) are the color coordinates of the reference source spectrum. From the colorimetric, the color coordinates (x _o , y _o ) of the object under the reference source spectrum and the color of the reference source spectrum are known. All the colors of the lines on the coordinates (x _r , y _r ) are consistent. The farther the color point is from the reference light color, the higher the saturation of the color. From Figure 13, the color coordinates of the maximum saturation that the object under test can reach under the reference light source can be seen.

Is the intersection of (x _o , y _o ) and (x _r , y _r ) and the above-mentioned triangle color range, so it can be based on the connection of (x _o , y _o ) and (x _r , y _r ) The color gamut constructing function calculates the color coordinate of the maximum saturation that the object to be tested can reach under the reference light source

Here

The level of increase in saturation is considered to be 100%.

Optionally, in step S305, the target color coordinate ( _x′o , y is calculated according to the color coordinate (x _o , y _o ) of the object under test and the color coordinate of the maximum saturation and the target saturation d. The steps of ' _o ) may include:

Step S601, the target color coordinates calculated by the following equation _{(x 'o, y' o} ),

其中，d是目标饱和度。

Where d is the target saturation.

Specifically, d is a saturation level that can be expected by the user and can be expressed as a percentage.

Optionally, in step S203, the calculation model for establishing the target radiant flux corresponding to the illuminating body according to the target color coordinate may include:

Three constraints are established to define the range of values of the radiation flux vector p, wherein the above constraints include:

Constraint 1: The total radiant flux of each color channel of the illuminator is greater than zero.

Constraint 2: The luminous flux of each color channel of the illuminating body is not greater than the maximum luminous flux of the channel.

Constraint 3: The color coordinate (x, y) vector of the object to be tested under the tonable light source provided by the illuminant can be matched with (x' _o , y' _o ).

The solution with multiple radiant flux vectors p is within the defined range of values, finding the optimal solution within a defined range of values by establishing a goal that maximizes the total luminous flux of all color channels. This process is implemented by solving a linear programming problem.

It should be noted here that the target here can be any linear or nonlinear target equation related to the radiant flux vector p. For example, maximizing the total luminous flux of all color channels, maximizing light efficiency, maximizing CRI, etc. The process of determining the optimal solution within a limited range of values can be achieved by establishing a linear programming problem, or by other methods, such as traversing all valid solutions in the range of values to find the optimal solution.

Specifically, the above calculation model can be derived by the following description:

The luminous flux Φ _i and the radiant flux of each channel satisfy the following relationship:

Φ _i =Φ _vi ·p _i ,i=1,...,n

Where p _i is the ith component of the vector p, and Φ _vi is the luminous flux converted by the radii flux of the i-th channel 1W, which is obtained by integrating the following equation.

是第i个颜色通道的相对光谱分布，v(λ)是人眼明视觉光谱光效分布。这里需要说明的是，上述照明体提供的各光源的不同颜色通道的光谱可以由用户事先测得然后输入设备。Where k _m is a constant and is 673.

Is the relative spectral distribution of the i-th color channel, and v(λ) is the light-effect distribution of the human visual spectrum. It should be noted here that the spectrum of the different color channels of each light source provided by the above illuminating body can be measured by the user before inputting the device.

即可得目标方程。Maximize

The target equation can be obtained.

Let Φ _vi ·p _{i be} less than or equal to the maximum luminous flux of the i-th channel, and the second constraint can be obtained.

At the same time, from the existing colorimetric formula, the CIE1931 xy coordinate of the surface color of the object under test under an illuminating body can be expressed as:

向量a_y表示

向量a_z表示

如果光源有n个颜色通道，则p，a_x，a_y，a_z都是n×1的向量。Where vector a _{x is} represented

Vector a _y

Vector a _z

If the source has n color channels, then p, a _x , a _y , and a _z are all n × 1 vectors.

The distance between it and the target color coordinates _{(x 'o, y' o} ) is represented by Δxy. The definition of Δxy is as follows.

Substituting (1-2), equation (3) can become:

among them,

k ₁ =(1-x' _o )a _x -x' _o a _y -x' _o a _z ,

k ₂ =-y' _o a _x +(1-y' _o )a _y -y' _o a _z ,

k ₃ = a _x + a _y + a _z .

此时，我们可以设立另一个目标来建立优化问题。这里我们以最大化光通量为优化目标为例，优化问题可以建立为Observe equation (4) to know that the numerator of the order is equal to 0, that is,

At this point, we can set another goal to build optimization problems. Here we take the optimization of the luminous flux as an example, and the optimization problem can be established as

限定待测物的色坐标xy向量能够与(x’_o，y’_o)进行匹配，优化问题的形式是线性优化问题，这种优化问题可以通过现有的成熟算法得到全局最优解。Where Φ _i,max represents the maximum luminous flux of the i-th color channel. The constraint one [1,...,1]p>0 defines that the total radiant flux of the light source must be greater than 0, and the constraint condition Φ _vi ·p _i ≤Φ _i,max defines that the luminous flux of each color channel cannot be greater than the maximum of the color channel. Luminous flux, constraint three

The color coordinate xy vector that defines the object to be tested can be matched with (x' _o , y' _o ). The form of the optimization problem is a linear optimization problem. This optimization problem can obtain the global optimal solution through the existing mature algorithm.

The following is a detailed description of the application in a specific application scenario:

This invention patent includes the following methods and steps:

The system includes a color tunable light source, sensor, memory and controller. The light source includes two or more colors of illuminants, such as light-emitting diodes (LEDs). Each set of homochromatic illuminants in the source is controlled by the same current or voltage signal. One or more illuminants of the same color in the source are referred to herein as a color channel.

The reflectance distribution of the surface of the object to be tested and the spectral distribution of each color channel in the illumination source are measured in advance. The reflectance distribution of the surface of the object to be tested and the spectral distribution of each color channel of the illumination source are stored in the memory. The surface of the target object to be tested has an identification mark, such as a barcode, and the sensor transmits the signal to the controller by sensing the identification mark. The controller calls the corresponding surface reflectance data of the object to be tested and the spectral distribution data of each color channel of the illumination source in the memory. The controller receives the reference light color temperature value sent by the user and the desired increased saturation level, and then calls the corresponding reference light spectrum in the memory to implement the following algorithm, and finally calculates the color channels that the dimming signal transmits to the light source. The system block diagram is shown in Figure 14.

According to the existing colorimetric formula, for a test object under a illuminating body, the tristimulus value CIE XYZ of its surface color can be reflected by the surface of the object to be tested, the CIE human eye tristimulus value function, the relative spectral distribution of each channel and the spokes. The flux vector p is represented.

表示在此光源下待测物所能达到最大饱和度的颜色点。不难看出点

应是(x_r，y_r)和(x_o，y_o)的连线和上述三角形颜色范围的交点，如图13所示。According to the existing colorimetric formula, the expression of CIE XYZ can be converted into an expression of CIE1931 xy color coordinates. In fact, when the light source has n color channels, the color of the object to be tested illuminated by the light source can be regarded as a mixture of colors reached by the object to be tested under illumination of each of the monochromatic color channels in the light source. Therefore, on the CIE1931xy chromaticity diagram, in the case of only one light source, the color point of the object to be tested can only be achieved in the color gamut where the object to be tested is respectively illuminated by the color points of the n color channels. At the same time, when the reflectance of the analyte and the spectrum of the light source are determined, the color range of the object under the light source is also determined. For example, the light source is composed of three colors of red, green and blue LEDs, and R, G, and B respectively represent the color values of the object to be tested under the illumination of the white LED, the red LED, the green LED, and the blue LED. Figure 13 shows the range of color of the object to be tested enclosed by the three points R, G, and B. That is, the coordinate point indicating the color value of the object to be tested that can be rendered by this light source can only fall within the triangle surrounded by the three points of R, G, and B. Let the CIE1931xy color coordinate of the object under the reference light be (x _o , y _o ), and substitute the reference light spectral energy distribution and the reflectance distribution of the test object into the formula (1-5) to obtain (x _o , y _o ). From colorimetry, we can see that all the color points of the reference light color point (x _r , y _r ) and the color point of the object to be tested (x _o , y _o ) are consistent. The farther the color point is from the reference light color, the higher the saturation of the color. point

Indicates the color point at which the object under test can reach maximum saturation. It’s not hard to see

It should be the intersection of the line of (x _r , y _r ) and (x _o , y _o ) and the above-mentioned triangle color range, as shown in FIG.

的饱和度增加的水平被认为为100％。设d为期望增加的饱和度水 平，用百分数表示。设期望达到的颜色色坐标为(x’_o，y’_o)，则(x’_o，y’_o)可以用下式计算。Here

The level of increase in saturation is considered to be 100%. Let d be the desired level of saturation, expressed as a percentage. Let the color coordinate coordinates expected to be (x' _o , y' _o ), then (x' _o , y' _o ) can be calculated by the following formula.

Three constraints are established to define the range of values of the radiant flux vector p. The constraints include:

Constraint 1: The total radiant flux of each color channel of the illuminator is greater than zero.

Constraint 2: The luminous flux of each color channel of the illuminating body is not greater than the maximum luminous flux of the channel.

Constraint 3: The color coordinate (x, y) vector of the object under test can be matched with ( _x'o , _y'o ).

The solution with multiple radiant flux vectors p is within the defined range of values, finding the optimal solution within a defined range of values by establishing a goal that maximizes the total luminous flux of all color channels. This process is achieved by establishing a linear programming problem.

It should be noted here that the target here can be any target equation related to the radiation flux vector p. For example, maximizing the total luminous flux of all color channels, maximizing light efficiency, maximizing CRI, etc. The process of determining the optimal solution within a limited range of values can be achieved by establishing a linear programming problem, or by other methods, such as traversing all valid solutions in the range of values to find the optimal solution.

The luminous flux Φ _i and the radiant flux of each channel satisfy the following relationship: Φ _i = Φ _vi · p _i , i = 1, ..., n where Φ _vi is the luminous flux converted by the radii of the i-th channel 1W, p _i is the ith component of the vector p.

即可得目标方程。Maximize

The target equation can be obtained.

Let Φ _vi ·p _{i be} less than or equal to the maximum luminous flux of the i-th channel, and the second constraint can be obtained.

At the same time, from the existing colorimetric formula, the xy color coordinate vector of the surface color of the object under test in an illuminating body can be reflected by the surface of the object to be tested, CIE human eye tristimulus value function, and the relative of each channel of the illuminating body The spectral distribution and the radiant flux vector p are represented. Let the xy color coordinate expression be equal to the target color coordinate vector (x' _o , y' _o ), and the third constraint condition can be obtained. After obtaining the optimal solution of the radiant flux of each color channel, the luminous flux Φ _{i of} each channel can be calculated by Φ _i = Φ _vi · p _i , i = 1, ..., n. The dimming signal of each color channel can be calculated from Φ _i by the characteristics of the illuminant. For example, the current value of the LED chip is proportional to the luminous flux in a stable state, and the dimming signal value of the i-th channel can be calculated from the Φ _i by the scale factor previously calibrated. The flow chart of the method described above is shown in Figure 15. Specifically:

Step 10: Receive a reference light source color temperature and a desired increased saturation level from the user.

In step 20, the reflectance spectrum of the analyte, the spectrum of each color channel of the light source and the spectrum of the reference source are called.

Step 30: Calculate a coordinate value of a maximum saturation color point of the object under test light.

In step 40, the coordinate value of the target color point is calculated according to the desired saturation level.

In step 50, a solution optimization problem 14 is established to determine the flux of each channel.

In step 60, the flux of each channel is converted into a dimming signal of each channel.

The core innovations to be protected by the present invention include:

A system and method for increasing the color saturation of a test object by adjusting the spectrum of the illumination source. The system and method obtain the spectrum of each color channel of the light source, the spectrum of the reference light source and the reflectivity function of the object to be tested, and establish a linear optimization problem according to the saturation level of the user desired to calculate the optimal tone. The light signal adjusts the light spectrum of the light source so that the color saturation of the object under the reference light is enhanced while the color hue does not change.

The invention has the following advantages:

The spectrum of the illumination source is automatically adjusted according to the selected reference light color temperature and the desired saturation increase level, and the operation is simple. The effect of the color intensity of the object under test under the reference light can be enhanced, and the color hue of the object to be tested is accurately aligned with the color hue under the reference light.

The following is a detailed description of the bag under the lighting:

The reflectance spectrum of the analyte can be measured by the user and then input to the device, or a standard reflectance spectrum of the analyte to be present in the memory. The spectrum of each color channel of the luminaire is measured by the user before input to the device. The spectra of different color temperature reference sources use the spectrum of standard illuminators of different color temperatures, and the color temperature is selected by the user. The spectrum of the reference source can also be manually entered by the user. As shown in FIG. 16, FIG. 16 may be a software interface diagram for a user to select a spectrum of a illuminating body color temperature reference source.

Once the user selects the spectrum of the reference source and the reflectivity of the object to be tested, the true color of the object to be tested can be calculated, which is represented by CIE1931xy color coordinates. As shown in Table 3 below, Table 3 is the color coordinates achieved by the purse under different reference sources.

Table 3: True color of the object under test at different color temperature sources

The new target color is obtained from the saturation increase level d based on the true color of the object to be tested, where the value of d ranges from 0% to 100%, which is determined by the user.

Taking the bag as an example, the method for enhancing the color vividness of the object to be tested is as follows:

1. The user selects the reflectivity of the bag, the illumination source spectrum and the reference source. Assuming that the user selects a reference light source of 6500K, the xy color coordinate of the true color of the bag is (0.3455, 0.3374). The bag reflectance data is shown in Figure 17. The lighting has four channels of WRGB (white, red, green, blue). The spectra of the four channels of the reference source and the luminaire are shown in Figures 18 and 19.

2. Calculate the color gamut of the object under test by the spectrum of the four channels of the luminaire and the reflectance spectrum of the object to be tested, as shown in FIG. The color gamut is surrounded by a triangle, R represents the color coordinate point of the D65 reference light source, the coordinates are (0.3127, 0.3290), and O represents the color coordinate point of the leather bag under the D65 reference light source, and the coordinates are (0.3455, 0.3374), and O ^* represents The color point of the bag that can reach the maximum saturation under this lighting fixture, the coordinates are (0.5783, 0.3972).

3. Set the saturation level from the user interface to 20%, and the target color point to be equal to [0.3455, 0.3374] + ([0.5783, 0.3972] - [0.3455, 0.3374]) * 0.2 = [0.3920, 0.3494].

4. Calculate k ₁ , k ₂ , k ₃ according to the color coordinates of the target color point, and establish an optimization problem (14). Here,

k ₁ =[0.3899,1.8063,-0.9731,-1.9757] ^T ,

k ₂ = [0.2602, -0.27000, -1.6757, -2.5521] ^T ,

k ₃ =[5.9001,5.9449,4.6202,8.1643] ^T , the luminous flux converted into the flux of 1W per channel is [311,174,482,46.4] (corresponding to WRGB respectively), and the maximum luminous flux per channel is [205.9, 24.3, 51.2, 6.4] (corresponding to WRGB respectively).

5. Solution optimization problem (14) The optimal solution flux vector is [0.6621, 0.0578, 0.1062, 0.1311] (corresponding to WRGB, respectively). The PWM dimming signal converted to four channels is (99%, 40%, 100%, 94%) (corresponding to WRGB, respectively).

According to the above process, the PWM values corresponding to different saturation levels of the test object under different reference light sources can be obtained. Here, taking the 6500K reference light source as an example, the four test objects in Table 3 are corresponding to the four different saturation levels. PWM value

Table 4: PWM dimming signals at different saturation levels for different DUTs under 6500K reference source

Example 3

According to an embodiment of the present invention, a lighting control method is provided. It should be noted that the color tunable light source in this embodiment is equivalent to the illuminating body in the embodiment of the present invention. 21 is a flowchart of a lighting control method according to a fourth embodiment of the present invention. As shown in FIG. 21, the method includes the following steps S101 to S104:

Step S101, determining a target light color temperature value and a target color.

Determine the target light color temperature value and the target color, wherein the target light color temperature value is the color temperature value of the target light, and the target color refers to the color that the target object needs to enhance. There are many ways to determine the target light color temperature value and the target color. For example, the target light color temperature value and the target color are determined by receiving the target light color temperature value and the target color input by the user.

Step S102, searching for data of the dimming signal corresponding to the target light color temperature value and the target color in the preset database.

The dimming signal data corresponding to the target light color temperature value and the target color is searched in the preset database, wherein the preset database has pre-stored dimming signal data corresponding to different light color temperature values and different colors. Specifically, the target light color temperature value and the target color determined above are input into a preset database, and a mapping relationship between the target light color temperature value and the target color and the dimming signal data in the preset database is obtained, and the target light is acquired through the mapping relationship. The color temperature value corresponds to the dimming signal data of the target color. The dimming signal data corresponding to the target light color temperature value and the target color is directly found in the preset database. It is not necessary to calculate the dimming signal data through a large amount of data, and this step improves the processing speed of enhancing the color of the target object.

Preferably, in the illumination control method provided by the embodiment of the present invention, a preset database may be obtained from: creating an optimization equation, wherein the optimization equation is used to calculate the radiation flux, and the radiation flux is indicative of the color tunable light source radiation intensity Weak physical quantity; perform computational processing on the optimization equation to obtain the optimal solution of the radiant flux; obtain the dimming signal data according to the optimal solution of the radiant flux; create a preset database, wherein the database is used to store the dimming signal data . The optimal solution of the radiant flux is calculated by the optimization equation, and the dimming signal data is obtained from the optimal solution of the radiant flux to create a preset database, and the preset database is used to store the dimming signal data.

Specifically, an optimization equation can be created by creating a target equation, wherein the target equation is a spectrum of a standard light source, a tristimulus value function of a human eye, a reflectance data of a standard diffuse reflector, a reflectance data of a target color sample, An equation created by the relative spectra and radiances of a color tunable light source; creating a constraint equation, where the constraint equation is the spectrum of the standard source, the color temperature of the target light, the tristimulus value of the human eye, and the reflectance data of the standard diffuse reflector The reflectivity data of the target color sample, the reflectance data of the contrast color sample of the target color sample, the relative spectrum of the color tunable light source, and the equation created by the radiant flux; the optimization equation is created by the target equation and the constraint equation.

Specifically, the target equation can be created by the spectrum of the standard light source and the three-stimulus value function of the human eye. Calculating the first coordinate with the reflectance data of the standard diffuse reflector, wherein the first coordinate is the color coordinate of the standard diffuse body under the standard light source; the relative spectrum of the color tunable light source, the human eye tristimulus value function, and the target color sample The reflectance data and the radiance flux calculate a coordinate expression of the target color sample; the target equation is created based on the first coordinate and the coordinate expression of the target color sample.

Through the target light color temperature value, the standard light source at the target light color temperature is determined. Under the color adjustable light source, the u'v' coordinate of the target color sample can be reflected by the target color sample surface reflection spectrum, the human eye tristimulus value function, and the color is adjustable. The relative spectral distribution of the light source and the radiant flux indicate that the coordinate expression of the target color sample is as shown in equations (1) and (2):

是人眼三刺激值函数，r(λ)是目标颜色样本表面光谱反射率，s(λ)是颜色可调光源的相对光谱能量分布，P是辐通量，如果光源有n个颜色通道，则p是n×1的向量。p^T表示光源的辐通量向量的矩阵转置。Where λ is the wavelength,

Is the human eye tristimulus value function, r (λ) is the spectral reflectance of the target color sample surface, s (λ) is the relative spectral energy distribution of the color tunable light source, P is the radiant flux, if the light source has n color channels, Then p is an n × 1 vector. p ^T represents the matrix transpose of the radiant flux vector of the source.

Color target color samples under standardized light source u'v 'coordinates _{(u' o, v 'o} ) is represented. Similarly, _{(u' o, v 'o} ) of the target color may be reflectance spectrum of the sample surface, The CIE human eye tristimulus value function, as well as the spectral distribution of the standard source, is calculated.

Let (u' _n , v' _n ) denote the coordinate point of the color of a standard diffuse reflector under a standard light source, ie the first coordinate. The first coordinate can be calculated from the target color sample surface reflectance spectrum, the CIE human eye tristimulus value function, and the spectral distribution of the standard light source. _{(u 'o, v' o} ) and the relationship _{(u 'n, v' n} ) in the CIE u'v 'coordinate relationship diagram shown in Figure 22.

为了增强在目标灯光色温下的光源下目标物体的目标颜色，需要最大化目标样本颜色的S值，即最大化目标样本颜色的u’v’坐标与(u′_n，v′_n)的距离。根据第一坐标(u′_n，v′_n)和目标颜色样本的坐标表达式，创建目标方程。得到目标方程如下： A color point _{(u 'o, v' o} ) of the saturation is represented by S. then

In order to enhance the target color of the target object under the light source at the target light color temperature, it is necessary to maximize the S value of the target sample color, that is, to maximize the distance between the u'v' coordinate of the target sample color and (u' _n , v' _n ) . The target equation is created based on the first coordinate (u' _n , v' _n ) and the coordinate expression of the target color sample. Get the target equation as follows:

Specifically, the constraint equation can be created by calculating a first coordinate from a spectrum of a standard light source, a human eye tristimulus value function, and a reflectance data of a standard diffuse reflector, wherein the first coordinate is a standard diffuse reflector at a standard light source The lower color coordinate; the second coordinate is calculated from the spectrum of the standard light source, the human eye tristimulus value function, and the reflectance data of the target color sample, wherein the second coordinate is the color coordinate of the target color sample under the standard light source; a relative expression of the light source, a tristimulus value function of the human eye, a reflectance data of the target color sample, and a coordinate expression of the target color sample of the target color sample; according to the first coordinate, the second coordinate, and the coordinate expression of the target color sample, Creating a first constraint equation; creating a second constraint of the contrast color sample of the target color sample from the spectrum of the color tunable light source, the spectrum of the standard light source, the tristimulus value function of the human eye, and the reflectance data of the contrast color sample of the target color sample Equation; created by the color-tuned source spectrum, the target light color temperature value, and the human eye tristimulus value function Beam equation; constraint equation based on the first, second and third constraint equation constraint equation constraint equation created.

In particular, according to the definition of CIE1976 L ^* u ^* v ^* coordinates, the slope of the first wiring 22 in FIG coordinate _{(u 'n, v' n} ) and a second coordinate _{(u 'o, v' o} ) represents target color samples _{(u 'o, v' o} ) of the hue angle. At the same time, in order to ensure the quality of the lighting rendering, it is necessary to ensure that the color of the newly rendered object color does not change. Let the line equations of the first coordinates (u' _n , v' _n ) and (u' _o , v' _o ) be:

v'=ku'+b (4)

That is, the coordinate point of the u'v' coordinate of the target color sample of the newly rendered target object needs to satisfy the tone constraint equation (4).

At the same time, if you only increase the color saturation of one sample, the other sample colors will be offset. In order not to distort other sample colors, it is necessary to constrain the color offset values of the contrast color samples of the target sample. Let (u' _oc , v' _oc ) denote the color coordinates of the contrast color sample of the target sample under the standard light source, then compare the new color point of the color sample with (u' _oc , v' _oc ) under the optimized light The color difference Δu'v' ² cannot exceed a certain threshold δ. Establish the color difference constraint equation as follows:

Where r _c represents the surface spectral reflectance of the contrast color sample of the target sample. In order for the color tunable light source to illuminate the light to meet the target light color temperature requirements, the xy color coordinate of the constrained light needs to be within the color temperature tolerance quadrilateral specified in ANSI 78.377. The eight color temperature tolerance quadrilaterals specified in ANSI 78.377 are shown in Figure 23. For example, if the color temperature is required to be 6500K, the xy coordinates of the light are constrained in the quadrilateral framed by the thick black line in Fig. 23. The xy coordinate constraint equation is as follows:

among them,

k _l1 , k _u1 , k _l2 and k _u2 represent the slopes of the linear equations, respectively, and b _l1 , b _u1 , b _l2 and b _u2 represent the intercepts of the linear equations, respectively.

The optimization equations are established by the above objective equation (3), the hue constraint equation (4), the color difference constraint equation (5), and the xy coordinate constraint equation (6) as follows:

Among them, the formula (7) is the objective equation, and the formula (8), the formula (9), the formula (10), the formula (11), the formula (12), and the formula (13) are constraint equations. Equation (8) is the hue constraint equation, formula (9) is the hue constraint equation, and formula (10), formula (11), formula (12), and formula (13) are xy coordinate constraint equations. Both the target equation and the constraint equation described above can be expressed by the radiant flux p, thereby calculating the optimal solution of the radiant flux. After obtaining the optimal solution of the radiant flux, the luminous flux of each channel of the color tunable light source is calculated. The dimming signal data corresponding to the color tunable light source is calculated by the luminous flux of the color tunable light source. For example, in a stable state, the luminous flux of the LED chip is proportional to the dimming signal data, and the dimming signal data of each channel can be calculated from the luminous flux of each channel according to a preset proportional coefficient.

Step S103, modulating the obtained dimming signal data to obtain a light driving signal.

The dimmed signal data corresponding to the found target light color temperature value and the target color is modulated, and the dimming signal data is converted into a light driving signal.

Step S104, controlling the color tunable light source to emit light through the light driving signal.

The color-adjustable light source is controlled by the light driving signal obtained by the above, wherein the light driving signal is used to control the light emitted by the color-adjustable light source to illuminate the target object to enhance the target color of the target object, and control the color-adjustable light source to be emitted. The color temperature of the light is the color temperature value of the target light. It is guaranteed to enhance the color of the target object while ensuring the quality of the lighting rendering.

The illumination control method provided by the embodiment of the invention determines the target light color temperature value and the target color; searches for the dimming signal data corresponding to the target light color temperature value and the target color in the preset database; and performs the searched dimming signal data Modulation, obtaining a light driving signal; controlling the color adjustable light source to be illuminated by the light driving signal, wherein the light driving signal is used to control the light emitted by the color adjustable light source to illuminate the target object to enhance the target color of the target object, and control the color. The color temperature of the light emitted by the light source is the color temperature value of the target light. The lighting control method achieves the effect of enhancing the color of the target object while ensuring the quality of the light rendering.

Example 4

According to an embodiment of the present invention, a lighting control method is provided. It should be noted that the color tunable light source in this embodiment is equivalent to the illuminating body in the embodiment of the present invention. Figure 24 is a flowchart of a lighting control method according to a fifth embodiment of the present invention. As shown in Figure 24, the method includes the following steps S101 to S105:

Step S101: Acquire a color parameter of the target object.

The parameters of the target object are determined by the acquired image of the target object.

Step S102: Search for a target color sample corresponding to the color parameter in the first preset database.

The obtained color parameter is input into the first preset database, and the mapping relationship between the color parameter and the color sample in the first preset database is obtained, and the target color sample corresponding to the color parameter is obtained through the mapping relationship.

Step S103, searching for the dimming signal data corresponding to the target color sample in the second preset database.

The target color sample is input into the second preset database, and the mapping relationship between the target color sample and the dimming signal data in the second preset database is obtained, and the dimming signal data corresponding to the target color sample is obtained through the mapping relationship. .

Step S104, modulating the obtained dimming signal data to obtain a light driving signal.

The dimming signal data corresponding to the found target color sample is modulated, and the dimming signal data is converted into a light driving signal. By directly searching for the dimming signal data, it is not necessary to calculate the dimming signal data in a large amount online, thereby improving the speed of acquiring the dimming signal data.

Step S105, controlling the color adjustable light source to emit light by the light driving signal.

The color-adjustable light source is controlled by the light driving signal obtained as described above, wherein the light driving signal is used to control the light emitted by the color-adjustable light source to illuminate the target object to enhance the target color of the target object. The light drives the signal, thus improving the processing speed of automatically recognizing the color of the target object to adjust the light to enhance the color of the target object.

The illumination control method provided by the embodiment of the invention obtains the dimming signal data through the color sample search, and obtains a light driving signal by using the dimming signal data, and the light driving signal drives the color adjustable light source to emit a light to illuminate the target object to make the target object The color is enhanced. The dimming signal data is not required to be obtained through a large number of calculations on the acquired target object parameters, thereby obtaining a light driving signal to drive the color adjustable light source to emit light to illuminate the target object to enhance the color of the target object. Therefore, the processing speed of automatically recognizing the color of the target object to adjust the light to enhance the color of the target object is improved.

It should be noted that the steps illustrated in the flowchart of the accompanying drawings may be executed in a computer system such as a set of computer executable instructions, and, although shown in the flowchart, The steps shown or described may be performed in an order different than that herein.

The embodiment of the present invention provides a lighting control device. It should be noted that the lighting control device of the embodiment of the present invention can be used to execute the lighting control method provided by the embodiment of the present invention. The lighting control device provided by the embodiment of the present invention will be described below.

25 is a schematic diagram of a lighting control apparatus according to a first embodiment of the present invention. As shown in FIG. 25, the apparatus includes: an acquisition total module 10 for acquiring a dimming signal of an illuminating body; and a control total module 20 for The illumination body is controlled to emit light according to the dimming signal.

Through the illumination control device of the embodiment, the technical effect of enhancing the color saturation of the surface of the object to be tested can be realized, thereby solving the technical problem that the existing light control technology cannot quantitatively and accurately enhance the color of the object to be tested.

Example 5

According to an embodiment of the present invention, a device for lighting control is provided, and FIG. 26 is a schematic diagram of a lighting control device according to a second embodiment of the present invention. As shown in FIG. 26, the device includes:

The receiving module 1001 is configured to receive a reference light source color temperature input by the user, a reflectivity type of the surface of the object to be tested, and a illuminating body spectral type;

Specifically, the user can input the color temperature of the reference light source, the reflectivity type of the surface of the object to be tested, and the spectrum type of the illuminating body through the interaction device. The interaction device may be a remote controller, and the user can use the remote controller to use the software. The interface operates.

The query module 1003 queries, from the memory, the reflectance distribution spectrum of the surface of the object to be tested by using the reflectance type of the surface of the object to be tested;

The query module 1003 is further configured to use the reference light source color temperature to query the reference light source of the illumination body and the reference light source color coordinate, and use the illumination body spectral type to query the color channel spectrum of the illumination body from the memory, wherein the illumination body is to be Measuring the object to provide a light source;

Specifically, the memory may pre-store the spectrum of each channel of the light source, the reference source spectrum, the reference source color coordinate, and the reflectance distribution spectrum of the surface of the object to be tested. Here, the reference input by the user in step S101 in the first embodiment is described. The color temperature corresponds to the spectrum of the light source in the above memory, the color coordinate of the reference source, and the spectrum type of the illuminator corresponds to the spectrum of each channel of the light source.

The calculating module 1005 calculates the radiant flux according to the reference light source, the reference source color coordinate, the reflectance distribution spectrum of the surface of the object to be tested, and the spectrum of each color channel of the illuminating body, to obtain a target radiant flux corresponding to the illuminating body;

The conversion module 1007 is configured to convert the target radiant flux into a dimming signal of each color channel provided by the illuminating body.

Specifically, each of the color channels irradiates the object to be tested in the form of white light according to the target radiation flux, and the color of the object to be tested may be used to maximize the color saturation of the object and the color tone of the object to be tested around the object to be tested. Not distorted.

In the above embodiment of the present application, the above four modules are combined, and the surface reflectance distribution of the object to be tested, the spectral distribution of the illuminating body, and the color temperature of the reference light source are used to adjust the spectrum of the output light of the illuminating body, so that The output light of the illuminating body is constrained to white light, and the color saturation of the object to be tested is enhanced under the illumination of the above white light, and the color tone is not changed, thereby solving the existing light control technology only improving the light color quality of the light itself or simply turning the light The color is changed to the color of the object to be tested, and the problem of the color saturation of the object to be tested and the color of the object to be tested around the object to be tested cannot be quantitatively and accurately corrected.

Optionally, the foregoing calculating module 1005 may further include:

a first sub-calculation module 1101, configured to obtain, by calculation, a color coordinate (x _o , y _o ) of the object under test;

Specifically, the reference light source may be pre-stored in the memory by the user, or may be input into the system by the user in real time. It should be noted that the above color coordinates (x _o , y _o ) may be CIE1931 xy color coordinates, CIE1960uv color coordinates, CIE1976 Luv color coordinates, CIE1976Lab color coordinates, and the like. Here CIE1931 xy color coordinates are used.

a second sub-calculation module 1103, configured to obtain color coordinates of a maximum saturation that can be achieved under the condensable light source by calculation

光源各通道光谱和用户输入的目标饱和度水平建立照明体对应的目标辐通量的计算模型。The model establishing module 1105 is configured to: according to the color coordinates (x _o , y _o ) of the object under test under the reference light source, and the maximum saturation color coordinate that the object to be tested can reach under the reference light source

The spectrum of each channel of the light source and the target saturation level of the user input establish a calculation model of the target radiant flux corresponding to the illuminating body.

The third sub-calculation module 1107 is configured to calculate a target radiant flux according to a calculation model of the target radiant flux corresponding to the illuminating body.

Specifically, the calculation model of the target radiation flux can be obtained by an existing mature algorithm, and the target radiation flux is a global optimal solution.

Optionally, the first sub-calculation module 1101 may further include:

The fourth sub-calculation module 1201 is configured to calculate (x _o , y _o ) by the following formula:

向量a_yo表示

向量a_zo表示

r(λ)是待测物表面的反射率分布光谱,s(λ)参考光源，光源有n个颜色通道，则p，a_xo，a_yo，a_zo都是n×1的向量。Where p is a vector representing the radiant flux of each channel of the light source, and the vector a _xo represents

Vector a _yo

Vector a _zo representation

r(λ) is the reflectance distribution spectrum of the surface of the object to be tested, s(λ) is the reference light source, and the light source has n color channels, then p, a _xo , a _yo , a _zo are all n × 1 vectors.

Specifically, the reflectance spectrum of the test object may be actually measured by the user and then input to the device, or a standard reflectance spectrum of the test object previously stored in the memory may be used. The spectrum of the different color channels of each light source provided by the illuminating body can be measured by the user before inputting the device, and the spectrum of the different color temperature reference light sources uses the spectrum of the standard illuminant with different color temperatures, the color temperature is selected by the user, and the spectrum of the reference light source can also be User input manually.

Optionally, the foregoing second sub-computing module 1103 may further include:

Obtaining a module, configured to obtain color coordinates (x _r , y _r ) of the reference light source from the memory;

The fifth sub-calculation module is configured to: according to the color coordinates (x _o , y _o ) of the object under test, the color coordinates (x _r , y _r ) of the reference light source, the reference light source spectrum, and the reflection of the surface of the object to be tested Rate distribution spectrum and spectrum of each channel of the light source are calculated

是(x_o，y_o)和(x_r，y_r)的连线和上述三角形颜色范围的交点，所以可以根据由(x_o，y_o)和(x_r，y_r)的连线和上述色域构建函数计算上述待测物在参考光源下能达到的最大饱和度的色坐标

这里

的饱和度增加的水平被认为是100％。Specifically, in combination with FIG. 3, FIG. 3 is a color range of the object to be tested surrounded by three points of R, G, and B, that is, a coordinate point indicating the color value of the object to be tested that can be rendered by the light source. It falls within the triangle enclosed by the three points of R, G, and B. The above triangle may be a color gamut, and the color gamut may be calculated by the spectrum of each channel of the light source provided by the illumination lamp and the reflection spectrum of the surface of the object to be tested, (x _o , y _o ) is the color of the object under test under the reference light source. The coordinates, (x _r , y _r ) are the color coordinates of the reference source. From the colorimetric, the color coordinates (x _o , y _o ) of the object under the reference source and the color coordinates of the reference source (x _r , The color of all the colors on the line of y _r ) is the same. The farther the color point is from the reference light color, the higher the saturation of the color. From Figure 3, the color coordinates of the maximum saturation that the object under test can reach under the reference source can be seen.

Is the intersection of (x _o , y _o ) and (x _r , y _r ) and the above-mentioned triangle color range, so it can be based on the connection of (x _o , y _o ) and (x _r , y _r ) The color gamut constructing function calculates the color coordinate of the maximum saturation that the object to be tested can reach under the reference light source

Here

The level of increase in saturation is considered to be 100%.

Optionally, the calculation model of the target radiant flux may be established as: establishing at least four constraints to define a range of values of the radiant flux vector p. Wherein the constraints include:

Constraint 1: The total flux of all color channels is greater than zero.

Constraint 2: The luminous flux of each color channel is not greater than the maximum luminous flux of the channel.

Constraint 3: The color coordinate point of the object to be tested is on the line connecting (x _r , y _r ) and (x _o , y _o ).

Constraint 4: The color coordinate point of the light is within the set white light area.

的距离。目标方程是最小化d与总光通量的加权和,其中后者作为可选，即可以加在目标方程里也可以不加。Use d to indicate the color coordinates of the object to be tested

the distance. The objective equation is to minimize the weighted sum of d and total luminous flux, with the latter being optional, either added to the target equation or not.

The solution with multiple radiant flux vectors p is within the defined range of values, and the only optimal solution that minimizes the value of the objective equation is determined by solving the mathematical optimization problem. This process is implemented by solving a linear programming problem.

It should be noted here that the second term of the objective equation can be any linear or nonlinear equation related to the radiant flux vector p. For example, the total luminous flux, light efficiency, CRI, etc. of all color channels. The process of determining the optimal solution within a limited range of values can be achieved by establishing a linear programming problem, or by other methods, such as traversing all valid solutions in the range of values to find the optimal solution.

Wherein, the luminous flux of each channel is equal to the luminous flux of the channel multiplied by the luminous flux converted by the radiation flux of the channel 1w

The color coordinates of the object to be tested may be represented by a reflection spectrum of the object to be tested, a CIE human eye tristimulus value function, a relative spectral distribution of each channel of the illumination body, and a radiation flux vector p. Specifically, the derivation process of the above calculation model is described in detail below with reference to FIG. 3 to FIG. 5:

表示在此光源下待测物所能达到最大饱和度的颜色点。不 难看出点

应是(x_r，y_r)和(x_o，y_o)的连线和上述三角形颜色范围的交点，如图3所示。In fact, when the light source has n color channels, the color of the object to be tested illuminated by the light source can be regarded as a mixture of colors reached by the object to be tested under illumination of each of the monochromatic color channels in the light source. Therefore, on the CIE1931xy chromaticity diagram, in the case of only one light source, the color point of the object to be tested can only be achieved in the color gamut where the object to be tested is respectively illuminated by the color points of the n color channels. At the same time, when the reflectance of the analyte and the spectrum of the light source are determined, the color range of the object under the light source is also determined. For example, the light source is composed of three colors of red, green and blue LEDs, and R, G, and B respectively represent the color values of the object to be tested under the illumination of the red LED, the green LED, and the blue LED. Figure 3 shows the range of color of the object to be tested enclosed by three points R, G, and B. That is, the coordinate point indicating the color value of the object to be tested that can be rendered by this light source can only fall within the triangle surrounded by the three points of R, G, and B. Let the CIE1931xy color coordinate of the color of the object under reference light be (x _o , y _o ). From colorimetry, we can see that all the color points of the reference light color point (x _r , y _r ) and the color point of the object to be tested (x _o , y _o ) are consistent. The farther the color point is from the reference light color, the higher the saturation of the color. point

Indicates the color point at which the object under test can reach maximum saturation. It’s not hard to see

It should be the intersection of the line of (x _r , y _r ) and (x _o , y _o ) and the above-mentioned triangle color range, as shown in Fig. 3.

The equation of the line connecting the reference light color point (x _r , y _r ) and the color point of the object to be tested (x _o , y _o ) can be expressed as:

y=kx+b (1).

Let the color point we want to optimize is (x' _o , y' _o ). Since the color hue should remain unchanged, (x' _o , y' _o ) needs to satisfy the formula (1). The expression for (x' _o , y' _o ) is:

其中，

among them,

是灯具各通道的相对光谱能量分布。照明体提供的各光源的不同颜色通道的光谱可以由用户事先测得然后输入设备。

It is the relative spectral energy distribution of each channel of the luminaire. The spectrum of the different color channels of each light source provided by the illuminating body can be measured in advance by the user and then input to the device.

之间的距离来实现。(x′_o，y′_o)和

之间的距离表示为：

In order to increase the saturation of the color of the object to be tested, we can minimize (x' _o , y' _o ) and

The distance between them is achieved. (x' _o , y' _o ) and

The distance between them is expressed as:

In most cases the color of the light is limited to white light. The ANSI C78.377 standard specifies eight quadrilaterals for eight color temperature points. We limit the color of the light to the white light area enclosed by these quadrilaterals. Here we make a piecewise linear fit to the white light area. The curve of the white light area piecewise function is shown in Fig. 4. In the CIE1931 xy coordinate system, the entire white light region is divided into two blocks, and the x-coordinates range from [x _min , x _mid ] and [x _mid , x _max ]. The piecewise linear fitting function of the upper limit of the white light region is:

The piecewise linear fit function for the lower bound of the white light region is:

The xy coordinate of the light color can be calculated by:

其中，

among them,

a_y表示

a_z表示

a _y indicates

a _z indicates

At the same time, the luminous flux Φ _i and the radiant flux of each channel satisfy the following relationship.

Φ _i =Φ _vi ·p _i ,i=1,...,n, where p _i is the i-th component of the vector p, and Φ _vi is the luminous flux converted by the radii of the i-th channel 1W, which is integrated by the following formula Out.

i＝1，…，n，其中，k_m是个常数，为673。

是第i个颜色通道的相对光谱分布，v(λ)是人眼明视觉光谱光效分布。因此总光通是

i=1,...,n, where k _m is a constant and is 673.

Is the relative spectral distribution of the i-th color channel, and v(λ) is the light-effect distribution of the human visual spectrum. So the total light is

之间的距离，最大化总光通量可以作为另一个目标。因此目标方程是两个目标表达式的加权和,优化问题模型表示如下。In addition to minimizing (x' _o , y' _o ) and

The distance between the maximal total luminous flux can be another target. Therefore the objective equation is the weighted sum of the two target expressions, and the optimization problem model is expressed as follows.

S.t. [1,...,1]p>0,

Φ _vi ·p _i ≤Φ _i,max ,i=1,2,...,n,

S.t. [1,...,1]p>0,

Φ _vi ·p _i ≤Φ _i,max ,i=1,2,...,n,

表示新产生的物体颜色仍然需要满足式(1)。后面的三个不等式限定灯光的色坐标在线性拟合的白光区域内。分别解以上两个式子,比较f₁和f₂的值，两个目标方程的较小值对应的最优解即是最优辐射通量。Color coordinate color coordinates where λ represents the weight, and Φ _i,max represents the maximum luminous flux of the ith color channel. In the constraint [1,...,1]p>0, the total radiant flux of the light source must be greater than 0, Φ _vi ·p _i ≤Φ _i,max defines that the luminous flux of each color channel cannot be greater than the maximum luminous flux of the color channel.

It means that the color of the newly generated object still needs to satisfy the formula (1). The latter three inequalities define the color coordinates of the light within a linearly fitted white light region. Solve the above two equations and compare the values of f ₁ and f ₂ . The optimal solution corresponding to the smaller values of the two objective equations is the optimal radiant flux.

After obtaining the optimal solution of the radiant flux of each color channel, the luminous flux Φ _{i of} each channel can be calculated by Φ _i = Φ _vi · p _i , i = 1, ..., n. The dimming signal of each color channel can be calculated from Φ _i by the characteristics of the illuminant. For example, the current value of the LED chip is proportional to the luminous flux in a stable state, and the current value of the i-th channel can be calculated from the Φ _i by the scale factor previously calibrated.

The method flow described above is shown in Figure 5.

Through the analysis of the embodiments of the present invention, it can be known that the core innovation points to be protected by the present application include:

A system and method for increasing the color saturation of a sample to be measured by optimizing the spectrum of light output from the source. The system and method obtain the optimal dimming signal and adjust the light spectrum of the light source according to the spectral distribution of the color channels of the light source and the reflectivity function of the object to be tested. The color saturation of the object under test under the reference light is enhanced. At the same time, the system output light is white light, and at the same time, according to the selected The reference light color temperature fully adjusts the spectrum of the illumination source, and the operation is simple. In the case where the spectrum of the light source is suitable, the effect of the color saturation of the object under test under the reference light can be enhanced, and the color hue of the object to be tested can be accurately aligned with the color hue under the reference light. The output light of the system is white light, which will not distort the color of the object to be tested around the object.

The following is a detailed description of the application of the implementation of the present application in a specific application scenario:

A system of an exemplary embodiment is shown in FIG. The user has previously measured the spectral distribution of each color channel in the lighting fixture in memory. The reflectance data of the surface of the object to be tested may be factory preset standard reflectance data or reflectance measured by the user in real time, and is also stored in the memory. At the same time, the reference light source distribution is also present in the memory. In use, the user specifies which analyte reflectance data to use, the luminaire spectral type and the reference source color temperature, and the information is transmitted to the controller by the user interface. The controller calls the corresponding surface reflectance data of the object to be tested in the memory, and refers to the spectral distribution data of the color channels of the light source and the illumination source. The controller implements an algorithm that calculates the color channels that the dimming signal is transmitted to the light source.

The reflectance spectrum of the analyte can be measured by the user and then input to the device, or a standard reflectance spectrum of the analyte to be present in the memory.

The spectrum of each color channel of the luminaire is measured by the user before input to the device. The spectra of different color temperature reference sources use the spectrum of standard illuminators of different color temperatures, and the color temperature is selected by the user. The spectrum of the reference source can also be manually entered by the user. Figure 7 is a software interface for the user to input the above reference light source. Once the user selects the spectrum of the reference source and the reflectivity of the object to be tested, the true color of the object to be tested can be calculated, which is represented by CIE1931xy color coordinates. As shown in Table 1, Table 1 is the color coordinates of the object under test at different color temperature sources.

Table 1: Color coordinates of the object under test at different color temperature sources

Taking the bag as an example, the method for enhancing the color vividness of the object to be tested with white light constraint is as follows:

1. The user selects the reflectivity of the bag, the illumination source spectrum and the reference source. Assuming that the user selects a reference light source of 6500K, the xy color coordinate of the true color of the bag is (0.3455, 0.3374). The bag reflectance data is shown in Figure 8. The lighting has four channels of WRGB (white, red, green, blue). The spectra of the four channels of the reference source and the illumination fixture are shown in Figures 9 and 10.

2. Calculate the color gamut of the object under test by the spectrum of the four channels of the luminaire and the reflectance spectrum of the object to be tested, as shown in FIG. The color gamut is surrounded by a triangle, and the white light region is represented by a quadrangle within a triangle. R represents the color coordinate point of the D65 reference source, the coordinates are (0.3127, 0.3290), O represents the color coordinate point of the bag under the D65 reference source, the coordinates are (0.3455, 0.3374), and O ^* represents the bag under the lighting fixture. The color point that reaches the maximum saturation, the coordinates are (0.5783, 0.3972).

3. Establish optimization issues. Here k = 0.2067, b = 0.2487, the luminous flux converted to the 1W radiant flux of the four channels is [311, 174, 482, 46.4] (corresponding to WRGB, respectively), and the maximum luminous flux per channel is [205.9, 24.3, 51.2, 6.4] ( Corresponding to WRGB).

4. The optimal solution flux vector for solution optimization problem is [1.6665, 0, 0.2643, 0.3794] (corresponding to WRGB, respectively). The PWM dimming signals converted to four channels are (88%, 0%, 98%, 94%) (corresponding to WRGB, respectively). The color coordinate of the optimized color point of the object to be tested is (0.3668, 0.3429), which is represented by O' in Fig. 11, and the color coordinate of the optimized color point of the light is (0.3351, 0.3345), which is represented by L in Fig. 11. . You can see that the light color points on the boundary of the white light area.

According to the above process, the PWM value obtained by the illuminated object under different reference light sources can be obtained. Table 2 takes the reference light source of 6500K as an example, and gives the color color coordinates and the light color coordinates of the four objects corresponding to the objects in Table 1. Lamp PWM drive signal.

Table 2: Optimization results for different objects under 6500K reference source

Example 6

According to an embodiment of the present invention, there is also provided a device for lighting control, and FIG. 27 is a schematic view of a lighting control device according to a third embodiment of the present invention. As shown in FIG.

The receiving module 901 is configured to receive an identifier of the object to be tested detected by the sensor, and a reference source color temperature and a target saturation d input by the user;

Specifically, the foregoing identification mark may be placed on the surface of the object to be tested, and may be a barcode or a two-dimensional code, each of the identification marks corresponding to one object to be tested, and the target saturation d may be the saturation of the surface color of the object to be tested. It may be the color saturation that the user desires to achieve by the illumination of the illuminating body and the color of the surface of the object to be tested. Can be taken The identification flag is transmitted to the controller by sensing using the sensor in the third embodiment, wherein the identification flag is associated with the object to be tested.

The query module 903 is configured to use the identification mark to query the reflectivity distribution of the surface of the object to be tested from the memory; and is also used for querying the reference light source spectrum of the illumination body, the reference light source spectral color coordinate, and the light source by using the reference light source color temperature to query from the memory. Each color channel spectrum, wherein the illuminating body provides a light source for the object to be tested;

Specifically, the memory in the third embodiment may be used to pre-store the color channel spectrum, the reference source spectrum, the reference source color coordinate, and the reflectance distribution of the surface of the object to be tested. The reference input by the user in step S101 is described. The color temperature corresponds to the spectrum of the light source in the above memory, the spectral color coordinates of the reference source, and the spectrum of each color channel of the light source.

The calculation module 905 calculates the radiant flux according to the target saturation d, the corresponding reference source spectrum, the reference source spectral color coordinate, the reflectance distribution of the surface of the object to be tested, and the spectrum of each color channel of the light source, to obtain the target radiant corresponding to the illuminating body. the amount.

The conversion module 907 is configured to convert the target radiant flux into a dimming signal of each color channel of the illuminating body.

Specifically, each color channel of the illuminating body can illuminate the object to be tested according to the radiant flux, and the color of the object to be tested can satisfy the target saturation d.

In the above embodiment of the present application, the above four modules are combined to use the previously stored surface reflectance of the object to be tested, the spectral distribution of the illuminating body, and the color temperature of the reference light source to adjust the spectrum of the output light of the illuminating body so that the illuminating body Under the illumination of the output light, the saturation of the color of the object under the reference light is enhanced while the color tone is not changed, which solves the problem that the existing light control technology only improves the light color quality of the light itself or simply changes the color of the light. As the color of the object to be tested, it is impossible to quantitatively and accurately enhance the color of the object to be tested.

Optionally, the foregoing calculating module 905 may further include:

a first sub-calculation module 9051, configured to acquire a target color coordinate by calculation, wherein the target color coordinate is a color coordinate presented when the object to be tested reaches the target saturation d;

a model establishing module 9052, configured to establish a calculation model of the target radiant flux corresponding to the illuminating body according to the target color coordinate;

The second sub-calculation module 9053 is configured to calculate a target radiant flux according to a calculation model of the target radiant flux corresponding to the illuminating body.

Specifically, the calculation model of the target radiation flux can be obtained by an existing mature algorithm, and the target radiation flux is a global optimal solution.

Specifically, the foregoing first sub-computing module 9051 may further include:

The third sub-calculation module 1001 is configured to calculate a color coordinate (x _o , y _o ) of the object to be tested under the reference source spectrum.

Specifically, the reference light source spectrum may be pre-stored in the memory by the user, or may be input into the system by the user in real time.

The fourth sub-computing module 1003 is configured to calculate the color coordinate of the maximum saturation that the object to be tested can reach under the light source

A fifth sub-module 1005 is calculated, was calculated from the measured color coordinates and the target color coordinate and saturation d the maximum saturation of the light spectrum of the target reference color coordinates _{(x 'o, y' o} ).

Optionally, the third sub-calculation module 1001 described above may be used to calculate (x _o , y _o ) by the following formula:

According to the existing colorimetric formula, for a test object under a illuminating body, the tristimulus value CIE XYZ of its surface color can be calculated from the surface reflection spectrum of the object to be tested, the CIE human eye tristimulus value function, and the standard light source spectral distribution. According to the existing colorimetric formula, the CIE XYZ value can be converted into CIE1931 xy color coordinate (x _o , y _o ). Specifically, the reflectance spectrum of the object to be tested can be actually measured by the user and then input to the device, or pre-existing. A standard reflectance spectrum of such a test object in the memory. The spectrum of the different color channels of each light source provided by the illuminating body can be measured by the user before inputting the device, and the spectrum of the different color temperature reference light sources uses the spectrum of the standard illuminant with different color temperatures, the color temperature is selected by the user, and the spectrum of the reference light source can also be User input manually.

的步骤可以包括：Optionally, the fourth sub-computing module 1003 calculates a color coordinate of a maximum saturation that the object to be tested can reach under the light source.

The steps can include:

Obtaining the reference source spectral color coordinates (x _r , y _r ) from the memory;

According to the color coordinates (x _o , y _o ) of the object under the reference source spectrum, the color coordinates (x _r , y _r ) of the reference source spectrum, the reference source spectrum, the reflectance distribution of the surface of the object to be tested, and the color of each source The channel spectrum calculates the color coordinates of the maximum saturation that the object under test can reach under the reference source.

是(x_o，y_o)和(x_r，y_r)的连线和上述三角形颜色范围的交点，所以可以根据由(x_o，y_o)和(x_r，y_r)的连线和上述色域构建函数计算上述待测物在参考光源下能达到的最大饱和度的色坐标

这里

的饱和度增加的水平被认为是100％。Specifically, as shown in FIG. 13 , FIG. 13 is a color range of the object to be tested surrounded by three points of R, G, and B, that is, a coordinate point indicating a color value of the object to be tested that can be rendered by the light source. It falls within the triangle enclosed by the three points of R, G, and B. The above triangle may be a color gamut, and the color gamut may be calculated by the spectrum of each color channel of the light source provided by the illumination lamp and the reflection spectrum of the surface of the object to be tested, (x _o , y _o ) for the object to be tested under the reference source spectrum The color coordinates, (x _r , y _r ) are the color coordinates of the reference source spectrum. From the colorimetric, the color coordinates (x _o , y _o ) of the object under the reference source spectrum and the color of the reference source spectrum are known. All the colors of the lines on the coordinates (x _r , y _r ) are consistent. The farther the color point is from the reference light color, the higher the saturation of the color. From Figure 13, the color coordinates of the maximum saturation that the object under test can reach under the reference light source can be seen.

Is the intersection of (x _o , y _o ) and (x _r , y _r ) and the above-mentioned triangle color range, so it can be based on the connection of (x _o , y _o ) and (x _r , y _r ) The color gamut constructing function calculates the color coordinate of the maximum saturation that the object to be tested can reach under the reference light source

Here

The level of increase in saturation is considered to be 100%.

Optionally, the first sub-calculation module 9051 can calculate the target color coordinate (x′ _o , y′ _o ) by using the following formula.

其中，d是目标饱和度。

Where d is the target saturation.

Specifically, d is a saturation level that can be expected by the user and can be expressed as a percentage.

Optionally, the calculation model of the above target radiant flux can be established as:

Establishing at least three constraints defines the range of values of the radiant flux vector p. The constraints include:

Constraint 1: The total radiant flux of each color channel of the illuminator is greater than zero.

Constraint 2: The luminous flux of each color channel of the illuminating body is not greater than the maximum luminous flux of the channel.

Constraint 3: The color coordinate (x, y) vector of the object to be tested under the tonable light source provided by the illuminant can be matched with (x' _o , y' _o ).

The solution with multiple radiant flux vectors p is within the defined range of values, finding the optimal solution within a defined range of values by establishing a goal that maximizes the total luminous flux of all color channels. This process is achieved by establishing a linear programming problem.

Note that the target here can be any target equation related to the radiant flux vector p. For example, maximizing the total luminous flux of all color channels, maximizing light efficiency, maximizing CRI, etc.

It should also be noted that the process of determining the optimal solution within a limited range of values can be achieved by establishing a linear programming problem, or by other methods, such as traversing all effective solutions in the range of values to find the optimal solution. Wait.

The luminous flux Φ _i and the radiant flux of each channel satisfy the following relationship: Φ _i = Φ _vi · p _i , i = 1, ..., n where Φ _vi is the luminous flux converted by the radii of the i-th channel 1W, p _i is the ith component of the vector p.

即可得目标方程。Maximize

The target equation can be obtained.

Let Φ _vi ·p _{i be} less than or equal to the maximum luminous flux of the i-th channel, and the second constraint can be obtained.

At the same time, from the existing colorimetric formula, the CIE XYZ tristimulus value of the surface color of the object under test in an illuminating body can be obtained by the surface reflection function of the object to be tested, CIE human eye tristimulus value function, and the channel of the illuminator The relative spectral distribution and the radiant flux vector p are expressed.

From the existing colorimetric formula, the XYZ expression can be converted into a CIE1931xy expression of the surface color of the object to be tested, so that the xy color coordinate expression is equal to the target color coordinate vector (x' _o , y' _o ), and The third constraint.

The following is a detailed description of the application in a specific application scenario:

This invention patent includes the following methods and steps:

The system includes a color tunable light source, sensor, memory and controller. The light source includes two or more colors of illuminants, such as light-emitting diodes (LEDs). Each set of homochromatic illuminants in the source is controlled by the same current or voltage signal. One or more illuminants of the same color in the source are referred to herein as a color channel.

The reflectance distribution of the surface of the object to be tested and the spectral distribution of each color channel in the illumination source are measured in advance. The reflectance distribution of the surface of the object to be tested and the spectral distribution of each color channel of the illumination source are stored in the memory. The surface of the target object to be tested has an identification mark, such as a barcode, and the sensor transmits the signal to the controller by sensing the identification mark. The controller calls the corresponding surface reflectance data of the object to be tested and the spectral distribution data of each color channel of the illumination source in the memory. The controller receives the reference light color temperature value sent by the user and the desired increased saturation level, and then calls the corresponding reference light spectrum in the memory to implement the following algorithm, and finally calculates the dimming signal to the light source. Each color channel. The system block diagram is shown in Figure 14.

According to the existing colorimetric formula, for a test object under a illuminating body, the tristimulus value CIE XYZ of its surface color can be reflected by the surface of the object to be tested, the CIE human eye tristimulus value function, the relative spectral distribution of each channel and the spokes. The flux vector p is represented.

表示在此光源下待测物所能达到最大饱和度的颜色点。不难看出点

应是(x_r，y_r)和(x_o，y_o)的连线和上述三角形颜色范围的交点，如图13所示。According to the existing colorimetric formula, the expression of CIE XYZ can be converted into an expression of CIE1931 xy color coordinates. In fact, when the light source has n color channels, the color of the object to be tested illuminated by the light source can be regarded as a mixture of colors reached by the object to be tested under illumination of each of the monochromatic color channels in the light source. Therefore, on the CIE1931xy chromaticity diagram, in the case of only one light source, the color point of the object to be tested can only be achieved in the color gamut where the object to be tested is respectively illuminated by the color points of the n color channels. At the same time, when the reflectance of the analyte and the spectrum of the light source are determined, the color range of the object under the light source is also determined. For example, the light source is composed of three colors of red, green and blue LEDs, and R, G, and B respectively represent the color values of the object to be tested under the illumination of the white LED, the red LED, the green LED, and the blue LED. Figure 13 shows the range of color of the object to be tested enclosed by the three points R, G, and B. That is, the coordinate point indicating the color value of the object to be tested that can be rendered by this light source can only fall within the triangle surrounded by the three points of R, G, and B. Let the CIE1931xy color coordinate of the object under the reference light be (x _o , y _o ), and substitute the reference light spectral energy distribution and the reflectance distribution of the test object into the formula (1-5) to obtain (x _o , y _o ). From colorimetry, we can see that all the color points of the reference light color point (x _r , y _r ) and the color point of the object to be tested (x _o , y _o ) are consistent. The farther the color point is from the reference light color, the higher the saturation of the color. point

Indicates the color point at which the object under test can reach maximum saturation. It’s not hard to see

It should be the intersection of the line of (x _r , y _r ) and (x _o , y _o ) and the above-mentioned triangle color range, as shown in FIG.

的饱和度增加的水平被认为为100％。设d为期望增加的饱和度水平，用百分数表示。设期望达到的颜色色坐标为(x’_o，y’_o)，则(x’_o，y’_o)可以用下式计算。Here

The level of increase in saturation is considered to be 100%. Let d be the desired increase in saturation level, expressed as a percentage. Let the color coordinate coordinates expected to be (x' _o , y' _o ), then (x' _o , y' _o ) can be calculated by the following formula.

Three constraints are established to define the range of values of the radiant flux vector p. The constraints include:

Constraint 1: The total radiant flux of each color channel of the illuminator is greater than zero.

Constraint 2: The luminous flux of each color channel of the illuminating body is not greater than the maximum luminous flux of the channel.

Constraint 3: The color coordinate (x, y) vector of the object under test can be matched with ( _x'o , _y'o ).

The solution with multiple radiant flux vectors p is within the defined range of values, finding the optimal solution within a defined range of values by establishing a goal that maximizes the total luminous flux of all color channels. This process is achieved by establishing a linear programming problem.

It should be noted here that the target here can be any target equation related to the radiation flux vector p. For example, maximizing the total luminous flux of all color channels, maximizing light efficiency, maximizing CRI, etc. The process of determining the optimal solution within a defined range of values can be achieved by establishing a linear programming problem, or by other methods. For example, traversing all valid solutions in the range of values to find the optimal solution.

The luminous flux Φ _i and the radiant flux of each channel satisfy the following relationship: Φ _i = Φ _vi · p _i , i = 1, ..., n where Φ _vi is the luminous flux converted by the radii of the i-th channel 1W, p _i is the ith component of the vector p.

即可得目标方程。Maximize

The target equation can be obtained.

Let Φ _vi ·p _{i be} less than or equal to the maximum luminous flux of the i-th channel, and the second constraint can be obtained.

At the same time, from the existing colorimetric formula, the xy color coordinate vector of the surface color of the object under test in an illuminating body can be reflected by the surface of the object to be tested, CIE human eye tristimulus value function, and the relative of each channel of the illuminating body The spectral distribution and the radiant flux vector p are represented. Let the xy color coordinate expression be equal to the target color coordinate vector (x' _o , y' _o ), and the third constraint condition can be obtained. After obtaining the optimal solution of the radiant flux of each color channel, the luminous flux Φ _{i of} each channel can be calculated by Φ _i = Φ _vi · p _i , i = 1, ..., n. The dimming signal of each color channel can be calculated from Φ _i by the characteristics of the illuminant. For example, the current value of the LED chip is proportional to the luminous flux in a stable state, and the dimming signal value of the i-th channel can be calculated from the Φ _i by the scale factor previously calibrated. The flow chart of the method described above is shown in Figure 15. Specifically:

Step 10: Receive a reference light source color temperature and a desired increased saturation level from the user.

In step 20, the reflectance spectrum of the analyte, the spectrum of each color channel of the light source and the spectrum of the reference source are called.

Step 30: Calculate a coordinate value of a maximum saturation color point of the object under test light.

In step 40, the coordinate value of the target color point is calculated according to the desired saturation level.

In step 50, a solution optimization problem 14 is established to determine the flux of each channel.

In step 60, the flux of each channel is converted into a dimming signal of each channel.

The core innovations to be protected by the present invention include:

A system and method for increasing the color saturation of a test object by adjusting the spectrum of the illumination source. The system and method obtain the spectrum of each color channel of the light source, the spectrum of the reference light source and the reflectivity function of the object to be tested, and establish a linear optimization problem according to the saturation level of the user desired to calculate the optimal tone. The light signal adjusts the light spectrum of the light source so that the color saturation of the object under the reference light is enhanced while the color hue does not change.

The invention has the following advantages:

The spectrum of the illumination source is automatically adjusted according to the selected reference light color temperature and the desired saturation increase level, and the operation is simple. The effect of the color intensity of the object under test under the reference light can be enhanced, and the color hue of the object to be tested is accurately aligned with the color hue under the reference light.

The following is a detailed description of the bag under the lighting:

The reflectance spectrum of the analyte can be measured by the user and then input to the device, or a standard reflectance spectrum of the analyte to be present in the memory. The spectrum of each color channel of the luminaire is measured by the user before input to the device. The spectra of different color temperature reference sources use the spectrum of standard illuminators of different color temperatures, and the color temperature is selected by the user. The spectrum of the reference source can also be manually entered by the user. As shown in FIG. 16, FIG. 16 may be a software interface diagram for a user to select a spectrum of a illuminating body color temperature reference source.

Once the user selects the spectrum of the reference source and the reflectivity of the object to be tested, the true color of the object to be tested can be calculated, which is represented by CIE1931xy color coordinates. As shown in Table 3 below, Table 3 is the color coordinates achieved by the purse under different reference sources.

Table 3: True color of the object under test at different color temperature sources

The new target color is obtained from the saturation increase level d based on the true color of the object to be tested, where the value of d ranges from 0% to 100%, which is determined by the user.

Taking the bag as an example, the method for enhancing the color vividness of the object to be tested is as follows:

1. The user selects the reflectivity of the bag, the illumination source spectrum and the reference source. Assuming that the user selects a reference light source of 6500K, the xy color coordinate of the true color of the bag is (0.3455, 0.3374). The bag reflectance data is shown in Figure 17. The lighting has four channels of WRGB (white, red, green, blue). The spectra of the four channels of the reference source and the luminaire are shown in Figures 18 and 19.

2. Calculate the color gamut of the object under test by the spectrum of the four channels of the luminaire and the reflectance spectrum of the object to be tested, as shown in FIG. The color gamut is surrounded by a triangle, R represents the color coordinate point of the D65 reference light source, the coordinate is (0.3127, 0.3290), and O represents the color coordinate point of the leather bag under the D65 reference light source, and the coordinates are (0.3455, 0.3374), and O* represents The color point of the bag that can reach the maximum saturation under this lighting fixture, the coordinates are (0.5783, 0.3972).

3. Set the saturation level from the user interface to 20%, and the target color point to be equal to [0.3455, 0.3374] + ([0.5783, 0.3972] - [0.3455, 0.3374]) * 0.2 = [0.3920, 0.3494].

4. Calculate k ₁ , k ₂ , k ₃ according to the color coordinates of the target color point, and establish an optimization problem (14). Here,

k ₁ =[0.3899,1.8063,-0.9731,-1.9757] ^T ,

k ₂ = [0.2602, -0.27000, -1.6757, -2.5521] ^T ,

k ₃ =[5.9001,5.9449,4.6202,8.1643] ^T , the luminous flux converted into the flux of 1W per channel is [311,174,482,46.4] (corresponding to WRGB respectively), and the maximum luminous flux per channel is [205.9, 24.3, 51.2, 6.4] (corresponding to WRGB respectively).

5. Solution optimization problem (14) The optimal solution flux vector is [0.6621, 0.0578, 0.1062, 0.1311] (corresponding to WRGB, respectively). The PWM dimming signal converted to four channels is (99%, 40%, 100%, 94%) (corresponding to WRGB, respectively).

According to the above process, the PWM values corresponding to different saturation levels of the test object under different reference light sources can be obtained. Here, taking the 6500K reference light source as an example, the four test objects in Table 3 are corresponding to the four different saturation levels. PWM value

Table 4: PWM dimming signals at different saturation levels for different DUTs under 6500K reference source

Example 7

According to an embodiment of the present invention, there is also provided a device for lighting control, the color tunable light source in this embodiment being equivalent to the illuminating body in the embodiment of the present invention. 28 is a schematic diagram of a lighting control apparatus according to a fourth embodiment of the present invention. As shown in FIG. 28, the apparatus includes a determining unit 10, a searching unit 20, an obtaining unit 30, and a control unit 40.

The determining unit 10 is configured to determine a target light color temperature value and a target color, wherein the target light color temperature value is a color temperature value of the target light, and the target color refers to a color that the target object needs to be enhanced.

The searching unit 20 is configured to search, in the preset database, the dimming signal data corresponding to the target light color temperature value and the target color, wherein the preset database has pre-stored dimming signal data corresponding to different light color temperature values and different colors.

The obtaining unit 30 is configured to obtain a light driving signal from the dimmed signal data obtained by the searching.

The control unit 40 is configured to control the color adjustable light source to emit light according to the light driving signal, wherein the light driving signal is used to control the light emitted by the color adjustable light source to enhance the target color of the target object, and control the light emitted by the color adjustable light source. The color temperature value is the color temperature value of the target light.

The light control device provided by the embodiment of the present invention determines the target light color temperature value and the target color by the determining unit 10, wherein the target light color temperature value is the color temperature value of the target light, and the target color refers to the color that the target object needs to be enhanced, and the searching unit The data of the dimming signal corresponding to the target light color temperature value and the target color is searched in the preset database, wherein the preset database has pre-stored dimming signal data corresponding to different light color temperature values and different colors, and the obtaining unit 30 searches by The obtained dimming signal data is obtained as a light driving signal. The control unit 40 controls the color adjustable light source to emit light according to the light driving signal, wherein the light driving signal is used to control the light emitted by the color adjustable light source to enhance the target color of the target object, and control the color temperature value of the light emitted by the color adjustable light source. The color temperature value of the target light. In the device, since the control unit controls the color-adjustable light source to emit light, the light emitted by the color-adjustable light source enhances the target color of the target object, and controls the color temperature value of the light emitted by the color-adjustable light source to be the color temperature value of the target light. It enhances the quality of the light rendering while enhancing the color of the target object.

29 is a schematic diagram of an optional lighting control apparatus according to a fourth embodiment of the present invention. As shown in FIG. 29, the apparatus includes a determining unit 10, a searching unit 20, an obtaining unit 30, and a control unit 40. The searching unit 20 further includes: a determining module 201, a calculating module 202, an obtaining module 203, and a creating module 204.

The functions of the determining unit 10, the searching unit 20, the obtaining unit 30 and the control unit 40 are the same as those in the above embodiment, and are not described herein again.

The determining module 201 is configured to determine an optimization equation, wherein the optimization equation is composed of a spectrum of a standard light source, a target light color temperature value, a human eye tristimulus value function, a standard diffuse reflectance data, a color tunable light source relative spectrum, and a spoke. The equation created by flux, wherein the spectrum of the standard source is the spectrum of the standard source obtained at the target color temperature, and the flux is the physical quantity representing the intensity of the tunable source.

The calculation module 202 is configured to perform a calculation process on the optimization equation to obtain an optimal solution of the radiant flux.

The obtaining module 203 is configured to obtain corresponding dimming signal data according to an optimal solution of the radiant flux.

The creating module 204 is configured to create a preset database, wherein the database is used to store dimming signal data.

30 is a schematic diagram of another alternative lighting control apparatus according to a fourth embodiment of the present invention. As shown in FIG. 30, the apparatus includes a determining unit 10, a searching unit 20, an obtaining unit 30, and a control unit 40. The searching unit 20 further includes: a determining module 201, a calculating module 202, an obtaining module 203, and a creating module 204. The obtaining module 203 further includes: an obtaining submodule 2031, a first calculating submodule 2032, and a second calculating submodule 2033.

The functions of the determining unit 10, the searching unit 20, the obtaining unit 30, the controlling unit 40, the determining module 201, the calculating module 202, the obtaining module 203, and the creating module 204 are the same as those in the above embodiment, and are not described herein again.

The obtaining sub-module 2031 is configured to obtain a radiant flux of the color tunable light source.

The first calculating sub-module 2032 is configured to calculate a luminous flux of the color tunable light source according to the radiant flux of the color tunable light source.

The second calculating sub-module 2033 is configured to calculate dimming signal data corresponding to the color tunable light source according to the luminous flux of the color tunable light source.

Example 8

According to an embodiment of the present invention, there is also provided a device for lighting control, the color tunable light source in this embodiment being equivalent to the illuminating body in the embodiment of the present invention. Figure 31 is a diagram showing a lighting control apparatus according to a fifth embodiment of the present invention. Intended, as shown in FIG. 31, the apparatus includes: a first acquisition unit 10, a first search unit 20, a second search unit 30, a second acquisition unit 40, and a control unit 50.

The first obtaining unit 10 is configured to acquire a color parameter of the target object.

The first searching unit 20 is configured to search for a target color sample corresponding to the color parameter in the first preset database, where the color samples corresponding to the different color parameters are pre-stored in the first preset database.

The second searching unit 30 is configured to search for dimming signal data corresponding to the target color sample in the second preset database, wherein the second preset database prestores dimming signal data corresponding to different target color samples.

The second obtaining unit 40 is configured to modulate the obtained dimming signal data to obtain a light driving signal.

The control unit 50 is configured to control the color adjustable light source illumination by the light driving signal, wherein the light driving signal is used to control the light emitted by the color adjustable light source to illuminate the target object to enhance the target color of the target object.

In the illumination control device provided by the embodiment of the present invention, the first acquiring unit 10 is configured to acquire a color parameter of the target object, and the first searching unit 20 is configured to search for a target color sample corresponding to the color parameter in the first preset database, where The color data sample corresponding to the different color parameters is pre-stored in a preset database, and the second search unit 30 is configured to search for the dimming signal data corresponding to the target color sample in the second preset database, where the second preset database is pre-stored. There is dimming signal data corresponding to different target color samples, and the second obtaining unit 40 is configured to modulate the obtained dimming signal data to obtain a light driving signal, and the control unit 50 is configured to control the color adjustable light source by the light driving signal. The light driving signal is used to control the light emitted by the color tunable light source to illuminate the target object to enhance the target color of the target object. In the illumination control device, by directly searching for the dimming signal data, it is not necessary to calculate the dimming signal data in a large amount online, thereby improving the processing speed of automatically recognizing the color of the target object to adjust the light to enhance the color of the target object.

32 is a schematic diagram of an optional lighting control apparatus according to a fifth embodiment of the present invention. As shown in FIG. 32, the apparatus includes: a first acquiring unit 10, a first searching unit 20, a second searching unit 30, The second acquisition unit 40 and the control unit 50. The first obtaining unit 10 further includes: a first obtaining module 101, a processing module 102, a first determining module 103, a second determining module 104, a third determining module 105, and a converting module 106.

The functions of the first obtaining unit 10, the first searching unit 20, the second searching unit 30, the second obtaining unit 40, and the control unit 50 are the same as those in the foregoing embodiment, and are not described herein again.

The first acquisition module 101 is configured to acquire an image of the target object.

The processing module 102 is configured to perform white balance processing on the image of the target object, and acquire an image of the processed target object.

The first determining module 103 is configured to determine a target area in the image of the processed target object.

The second determining module 104 is configured to determine a primary color of the target area.

The third determining module 105 is configured to determine a color component value of the main color of the target area.

Conversion module 106 is operative to convert color component values to tone values and saturation values.

33 is a schematic diagram of another optional lighting control apparatus according to a fifth embodiment of the present invention. As shown in FIG. 33, the apparatus includes: a first acquiring unit 10, a first searching unit 20, and a second searching unit 30. The second acquisition unit 40 and the control unit 50. The first obtaining unit 10 further includes: a first acquiring module 101, and processing The module 102, the first determining module 103, the second determining module 104, the third determining module 105, and the converting module 106. The second determining module 104 further includes: a first obtaining submodule 1041, a first determining submodule 1042, a second obtaining submodule 1043, and a second determining submodule 1044.

The first obtaining unit 10, the first searching unit 20, the second searching unit 30, the second obtaining unit 40, the control unit 50, the first obtaining module 101, the processing module 102, the first determining module 103, the second determining module 104, The functions of the third determining module 105 and the converting module 106 are the same as those in the foregoing embodiment, and are not described herein again.

The first acquisition sub-module 1041 is configured to acquire pixel points in an image of the target object, wherein the pixel points include a plurality of pixel points.

The first determining sub-module 1042 is configured to determine a plurality of color vectors of the pixel points, wherein different color vectors of the plurality of color vectors correspond to different ones of the plurality of pixel points.

The second obtaining sub-module 1043 is configured to perform an averaging calculation on the plurality of color vectors to obtain an average vector.

The second determination sub-module 1044 is configured to determine the average vector as the primary color of the target area.

FIG. 34 is a schematic diagram of another alternative lighting control apparatus according to a fifth embodiment of the present invention. As shown in FIG. 34, the apparatus includes: a first acquiring unit 10, a first searching unit 20, and a second searching unit 30. The second acquisition unit 40 and the control unit 50. The first obtaining unit 10 further includes: a first obtaining module 101, a processing module 102, a first determining module 103, a second determining module 104, a third determining module 105, and a converting module 106. The second determining module 104 further includes: a third obtaining submodule 1045, a third determining submodule 1046, a statistic submodule 1047, and a fourth obtaining submodule 1048.

The first obtaining unit 10, the first searching unit 20, the second searching unit 30, the second obtaining unit 40, the control unit 50, the first obtaining module 101, the processing module 102, the first determining module 103, the second determining module 104, The functions of the third determining module 105 and the converting module 106 are the same as those in the foregoing embodiment, and are not described herein again.

The third obtaining sub-module 1045 is configured to acquire pixel points in the image of the target object, wherein the pixel points include a plurality of pixel points.

The third determining sub-module 1046 is configured to determine a plurality of color vectors of the pixel points, wherein different color vectors of the plurality of color vectors correspond to different ones of the plurality of pixel points.

Statistics sub-module 1047 is used to count the proportion of color vectors in all color vectors.

The fourth obtaining sub-module 1048 is configured to obtain the highest-priority color vector, and determine the color vector as the main color of the target area.

According to an embodiment of the invention, a lighting control system is also provided. It should be noted that the illumination control system of the embodiment of the present invention may be used to perform the illumination control method provided by the embodiment of the present invention. 35 is a schematic diagram of a lighting control system according to a first embodiment of the present invention. As shown in FIG. 35, the system includes: an illuminating body 10; and a total controller 20 for acquiring a dimming signal of the illuminating body, and adjusting according to The light signal controls the illumination of the illumination body.

Through the illumination control system of the embodiment, the technical effect of enhancing the color saturation of the surface of the object to be tested can be realized, thereby solving the technical problem that the existing light control technology cannot quantitatively and accurately enhance the color of the object to be tested.

Example 9

According to an embodiment of the present invention, there is also provided a lighting control system, and FIG. 36 is a second embodiment according to the present invention. A schematic diagram of a lighting control system, as shown in Figure 36, the system includes:

The memory 1100 is configured to store a spectrum of each color channel of the illuminator, a reference source of the illuminating body, a reference source color coordinate, and a reflectance distribution spectrum of the surface of the object to be tested;

The controller 1300 is configured to receive a reference light source color temperature input by the user, a reflectance type of the surface of the object to be tested, and a spectral type of the illuminating body, and use the reflectivity type of the surface of the measuring object to query the reflectance distribution spectrum of the surface of the object to be tested. Using the reference source color temperature to query from the memory to obtain the reference source of the illuminant, the reference source color coordinates, and use the illuminant spectrum type to query the illuminator color channel spectrum from the memory, according to the reference source, the reference source color coordinates, the object to be tested The reflectance distribution of the surface and the spectrum of each color channel of the illuminator are used to calculate the radiant flux, and the target radiant flux corresponding to the illuminating body is obtained; and the target radiant flux is converted into the dimming signal of each color channel provided by the illuminating body.

The illuminating body 1400 is configured to provide a tonable light source for the object to be tested.

In the above embodiment of the present application, the surface reflectance distribution of the object to be tested, the spectral distribution of the illuminating body, and the color temperature of the reference light source are used to adjust the spectrum of the output light of the illuminating body, so that the output light of the illuminating body is constrained to white light. The color saturation of the object to be tested is enhanced under the illumination of the above white light, and the color tone is not changed, which solves the problem that the existing light control technology only improves the light color quality of the light itself or simply changes the color of the light to the object to be tested. The color cannot accurately and quantitatively enhance the color saturation of the object to be tested and at the same time distort the color of the object to be tested around the object to be tested.

Through the analysis of the embodiments of the present invention, it can be known that the core innovation points to be protected by the present application include:

A system and method for increasing the color saturation of a sample to be measured by optimizing the spectrum of light output from the source. The system and method obtain the optimal dimming signal and adjust the light spectrum of the light source according to the spectral distribution of the color channels of the light source and the reflectivity function of the object to be tested. The color saturation of the object under test under the reference light is enhanced. At the same time, the output light of the system is white light. At the same time, the spectrum of the illumination source is fully adjusted according to the selected reference light color temperature, and the operation is simple. In the case where the spectrum of the light source is suitable, the effect of the color saturation of the object under test under the reference light can be enhanced, and the color hue of the object to be tested can be accurately aligned with the color hue under the reference light. The output light of the system is white light, which will not distort the color of the object to be tested around the object.

The following is a detailed description of the application of the implementation of the present application in a specific application scenario:

A system of an exemplary embodiment is shown in FIG. The user has previously measured the spectral distribution of each color channel in the lighting fixture in memory. The reflectance data of the surface of the object to be tested may be factory preset standard reflectance data or reflectance measured by the user in real time, and is also stored in the memory. At the same time, the reference light source distribution is also present in the memory. In use, the user specifies which analyte reflectance data to use, the luminaire spectral type and the reference source color temperature, and the information is transmitted to the controller by the user interface. The controller calls the corresponding surface reflectance data of the object to be tested in the memory, and refers to the spectral distribution data of the color channels of the light source and the illumination source. The controller implements an algorithm that calculates the color channels that the dimming signal is transmitted to the light source.

The reflectance spectrum of the analyte can be measured by the user and then input to the device, or a standard reflectance spectrum of the analyte to be present in the memory.

The spectrum of each color channel of the luminaire is measured by the user before input to the device. The spectra of different color temperature reference sources use the spectrum of standard illuminators of different color temperatures, and the color temperature is selected by the user. The spectrum of the reference source can also be manually entered by the user. Figure 7 is a software interface for the user to input the above reference light source. Once the user selects the reference source The spectrum and the reflectance of the object to be measured are calculated according to the true color of the object to be measured, which is represented by CIE1931xy color coordinates. As shown in Table 1, Table 1 is the color coordinates of the object under test at different color temperature sources.

Table 1: Color coordinates of the object under test at different color temperature sources

Taking the bag as an example, the method for enhancing the color vividness of the object to be tested with white light constraint is as follows:

1. The user selects the reflectivity of the bag, the illumination source spectrum and the reference source. Assuming that the user selects a reference light source of 6500K, the xy color coordinate of the true color of the bag is (0.3455, 0.3374). The bag reflectance data is shown in Figure 8. The lighting has four channels of WRGB (white, red, green, blue). The spectra of the four channels of the reference source and the illumination fixture are shown in Figures 9 and 10.

2. Calculate the color gamut of the object under test by the spectrum of the four channels of the luminaire and the reflectance spectrum of the object to be tested, as shown in FIG. The color gamut is surrounded by a triangle, and the white light region is represented by a quadrangle within a triangle. R represents the color coordinate point of the D65 reference source, the coordinates are (0.3127, 0.3290), O represents the color coordinate point of the bag under the D65 reference source, the coordinates are (0.3455, 0.3374), and O ^* represents the bag under the lighting fixture. The color point that reaches the maximum saturation, the coordinates are (0.5783, 0.3972).

3. Establish optimization issues. Here k = 0.2067, b = 0.2487, the luminous flux converted to the 1W radiant flux of the four channels is [311, 174, 482, 46.4] (corresponding to WRGB, respectively), and the maximum luminous flux per channel is [205.9, 24.3, 51.2, 6.4] ( Corresponding to WRGB).

4. The optimal solution flux vector for solution optimization problem is [1.6665, 0, 0.2643, 0.3794] (corresponding to WRGB, respectively). The PWM dimming signals converted to four channels are (88%, 0%, 98%, 94%) (corresponding to WRGB, respectively). The color coordinate of the optimized color point of the object to be tested is (0.3668, 0.3429), which is represented by O' in Fig. 11, and the color coordinate of the optimized color point of the light is (0.3351, 0.3345), which is represented by L in Fig. 11. . You can see that the light color points on the boundary of the white light area.

According to the above process, the PWM value obtained by the illuminated object under different reference light sources can be obtained, and Table 2 Taking the 6500K reference light source as an example, the color color coordinates, the light color coordinates, and the lamp PWM driving signal of the four objects corresponding to the four objects in Table 1 are given.

Table 3: Optimization results for different objects under 6500K reference source

Example 10

According to an embodiment of the present invention, there is also provided a lighting control system, and FIG. 37 is a schematic diagram of a lighting control system according to a third embodiment of the present invention. As shown in FIG. 37, the system includes:

The memory 1101 is configured to store a spectrum of each color channel of the light source, a reference light source spectrum of the illuminating body, a spectral color coordinate of the reference light source, and a reflectance distribution of the surface of the object to be tested;

a sensor 1103, configured to transmit an identifier to the controller by sensing, wherein the identifier is associated with the object to be tested;

Specifically, the foregoing identification mark may be placed on the surface of the object to be tested, and may be a barcode or a two-dimensional code, each of the identification marks corresponding to one object to be tested, and the target saturation d may be the saturation of the surface color of the object to be tested. It may be the color saturation that the user desires to achieve by the illumination of the illuminating body and the color of the surface of the object to be tested. The sensor 1103 that can be employed transmits the identification flag to the controller by sensing, wherein the identification flag is associated with the object to be tested.

The controller 1105 is configured to receive an identifier of the object to be tested detected by the sensor, and a reference light source color temperature and a target saturation d input by the user, and use the identification mark to query the reflectivity distribution of the surface of the object to be tested from the memory; The reference source color temperature is queried from the memory to obtain the reference source spectrum of the illuminating body, the reference source spectral color coordinate, and the color channel color spectrum of the light source, according to the target saturation d, the corresponding reference source spectrum, the reference source spectral color coordinate, and the surface of the object to be tested. The reflectance distribution and the spectrum of each color channel of the light source are calculated by the radiant flux to obtain the target radiant flux corresponding to the illuminating body; the target radiant flux is converted into the dimming signal of each light source channel provided by the illuminating body.

The illuminating body 1107 is configured to provide a tonable light source for the object to be tested.

Specifically, the memory 1101 of the third embodiment may be used to pre-store the color channel spectrum, the reference source spectrum, the reference source color coordinate, and the reflectance distribution of the surface of the object to be tested. Here, the user input in step S101 is required. The reference color temperature corresponds to the spectrum of the light source in the above memory, the spectral color coordinates of the reference source, and the light source Color channel spectrum.

In the above embodiment of the present application, the controller 1105 adjusts the spectrum of the output light of the illuminating body by using the previously stored surface reflectance of the object to be tested, the spectral distribution of the illuminating body, and the color temperature of the reference light source, so that the light is outputted in the illuminating body. Under illumination, the saturation of the color of the object under the reference light is enhanced while the color tone is not changed, which solves the problem that the existing light control technology only improves the light color quality of the light itself or simply changes the color of the light to be tested. The color of the object cannot quantitatively and accurately enhance the color of the object to be tested.

The following is a detailed description of the application in a specific application scenario:

This invention patent includes the following methods and steps:

The system includes a color tunable light source, sensor, memory and controller. The light source includes two or more colors of illuminants, such as light-emitting diodes (LEDs). Each set of homochromatic illuminants in the source is controlled by the same current or voltage signal. One or more illuminants of the same color in the source are referred to herein as a color channel.

The reflectance distribution of the surface of the object to be tested and the spectral distribution of each color channel in the illumination source are measured in advance. The reflectance distribution of the surface of the object to be tested and the spectral distribution of each color channel of the illumination source are stored in the memory. The surface of the target object to be tested has an identification mark, such as a barcode, and the sensor transmits the signal to the controller by sensing the identification mark. The controller calls the corresponding surface reflectance data of the object to be tested and the spectral distribution data of each color channel of the illumination source in the memory. The controller receives the reference light color temperature value sent by the user and the desired increased saturation level, and then calls the corresponding reference light spectrum in the memory to implement the following algorithm, and finally calculates the color channels that the dimming signal transmits to the light source. The system block diagram is shown in Figure 14.

According to the existing colorimetric formula, for a test object under a illuminating body, the tristimulus value CIEXYZ of its surface color can be reflected by the surface of the object to be tested, the CIE human eye tristimulus value function, the relative spectral distribution of each channel and the radiant The quantity vector p is used to represent.

表示在此光源下待测物所能达到最大饱和度的颜色点。不难看出点

应是(x_r，y_r)和(x_o，y_o)的连线和上述三角形颜色范围的交点，如图13所示。According to the existing colorimetric formula, the expression of CIE XYZ can be converted into an expression of CIE1931 xy color coordinates. In fact, when the light source has n color channels, the color of the object to be tested illuminated by the light source can be regarded as a mixture of colors reached by the object to be tested under illumination of each of the monochromatic color channels in the light source. Therefore, on the CIE1931xy chromaticity diagram, in the case of only one light source, the color point of the object to be tested can only be achieved in the color gamut where the object to be tested is respectively illuminated by the color points of the n color channels. At the same time, when the reflectance of the analyte and the spectrum of the light source are determined, the color range of the object under the light source is also determined. For example, the light source is composed of three colors of red, green and blue LEDs, and R, G, and B respectively represent the color values of the object to be tested under the illumination of the white LED, the red LED, the green LED, and the blue LED. Figure 13 shows the range of color of the object to be tested enclosed by the three points R, G, and B. That is, the coordinate point indicating the color value of the object to be tested that can be rendered by this light source can only fall within the triangle surrounded by the three points of R, G, and B. Let the CIE1931xy color coordinate of the object under the reference light be (x _o , y _o ), and substitute the reference light spectral energy distribution and the reflectance distribution of the test object into the formula (1-5) to obtain (x _o , y _o ). From colorimetry, we can see that all the color points of the reference light color point (x _r , y _r ) and the color point of the object to be tested (x _o , y _o ) are consistent. The farther the color point is from the reference light color, the higher the saturation of the color. point

Indicates the color point at which the object under test can reach maximum saturation. It’s not hard to see

It should be the intersection of the line of (x _r , y _r ) and (x _o , y _o ) and the above-mentioned triangle color range, as shown in FIG.

的饱和度增加的水平被认为为100％。设d为期望增加的饱和度水 平，用百分数表示。设期望达到的颜色色坐标为(x’_o，y’_o)，则(x’_o，y’_o)可以用下式计算。Here

The level of increase in saturation is considered to be 100%. Let d be the desired level of saturation, expressed as a percentage. Let the color coordinate coordinates expected to be (x' _o , y' _o ), then (x' _o , y' _o ) can be calculated by the following formula.

Three constraints are established to define the range of values of the radiant flux vector p. The constraints include:

Constraint 1: The total radiant flux of each color channel of the illuminator is greater than zero.

Constraint 2: The luminous flux of each color channel of the illuminating body is not greater than the maximum luminous flux of the channel.

Constraint 3: The color coordinate (x, y) vector of the object under test can be matched with ( _x'o , _y'o ).

The solution with multiple radiant flux vectors p is within the defined range of values, finding the optimal solution within a defined range of values by establishing a goal that maximizes the total luminous flux of all color channels. This process is achieved by establishing a linear programming problem.

It should be noted here that the target here can be any target equation related to the radiation flux vector p. For example, maximizing the total luminous flux of all color channels, maximizing light efficiency, maximizing CRI, etc. The process of determining the optimal solution within a limited range of values can be achieved by establishing a linear programming problem, or by other methods, such as traversing all valid solutions in the range of values to find the optimal solution.

The luminous flux Φ _i and the radiant flux of each channel satisfy the following relationship: Φ _i = Φ _vi · p _i , i = 1, ..., n where Φ _vi is the luminous flux converted by the radii of the i-th channel 1W, p _i is the ith component of the vector p.

即可得目标方程。Maximize

The target equation can be obtained.

Let Φ _vi ·p _{i be} less than or equal to the maximum luminous flux of the i-th channel, and the second constraint can be obtained.

At the same time, from the existing colorimetric formula, the xy color coordinate vector of the surface color of the object under test in an illuminating body can be reflected by the surface of the object to be tested, CIE human eye tristimulus value function, and the relative of each channel of the illuminating body The spectral distribution and the radiant flux vector p are represented. Let the xy color coordinate expression be equal to the target color coordinate vector (x' _o , y' _o ), and the third constraint condition can be obtained. After obtaining the optimal solution of the radiant flux of each color channel, the luminous flux Φ _{i of} each channel can be calculated by Φ _i = Φ _vi · p _i , i = 1, ..., n. The dimming signal of each color channel can be calculated from Φ _i by the characteristics of the illuminant. For example, the current value of the LED chip is proportional to the luminous flux in a stable state, and the dimming signal value of the i-th channel can be calculated from the Φ _i by the scale factor previously calibrated. The flow chart of the method described above is shown in Figure 15. Specifically:

Step 10: Receive a reference light source color temperature and a desired increased saturation level from the user.

In step 20, the reflectance spectrum of the analyte, the spectrum of each color channel of the light source and the spectrum of the reference source are called.

Step 30: Calculate a coordinate value of a maximum saturation color point of the object under test light.

In step 40, the coordinate value of the target color point is calculated according to the desired saturation level.

In step 50, a solution optimization problem 14 is established to determine the flux of each channel.

In step 60, the flux of each channel is converted into a dimming signal of each channel.

The core innovations to be protected by the present invention include:

A system and method for increasing the color saturation of a test object by adjusting the spectrum of the illumination source. The system and method obtain the spectrum of each color channel of the light source, the spectrum of the reference light source and the reflectivity function of the object to be tested, and establish a linear optimization problem according to the saturation level of the user desired to calculate the optimal tone. The light signal adjusts the light spectrum of the light source so that the color saturation of the object under the reference light is enhanced while the color hue does not change.

The invention has the following advantages:

The spectrum of the illumination source is automatically adjusted according to the selected reference light color temperature and the desired saturation increase level, and the operation is simple. The effect of the color intensity of the object under test under the reference light can be enhanced, and the color hue of the object to be tested is accurately aligned with the color hue under the reference light.

The following is a detailed description of the bag under the lighting:

The reflectance spectrum of the analyte can be measured by the user and then input to the device, or a standard reflectance spectrum of the analyte to be present in the memory. The spectrum of each color channel of the luminaire is measured by the user before input to the device. The spectra of different color temperature reference sources use the spectrum of standard illuminators of different color temperatures, and the color temperature is selected by the user. The spectrum of the reference source can also be manually entered by the user. As shown in FIG. 16, FIG. 16 may be a software interface diagram for a user to select a spectrum of a illuminating body color temperature reference source.

Once the user selects the spectrum of the reference source and the reflectivity of the object to be tested, the true color of the object to be tested can be calculated, which is represented by CIE1931xy color coordinates. As shown in Table 3 below, Table 3 is the color coordinates achieved by the purse under different reference sources.

Table 3: True color of the object under test at different color temperature sources

The new target color is obtained from the saturation increase level d based on the true color of the object to be tested, where the value of d ranges from 0-100%, which is determined by the user.

Taking the bag as an example, the method for enhancing the color vividness of the object to be tested is as follows:

1. The user selects the reflectivity of the bag, the illumination source spectrum and the reference source. Assuming that the user selects a reference light source of 6500K, the xy color coordinate of the true color of the bag is (0.3455, 0.3374). The bag reflectance data is shown in Figure 17. The lighting has four channels of WRGB (white, red, green, blue). The spectra of the four channels of the reference source and the luminaire are shown in Figures 18 and 19.

2. Calculate the color gamut of the object under test by the spectrum of the four channels of the luminaire and the reflectance spectrum of the object to be tested, as shown in FIG. The color gamut is surrounded by a triangle, R represents the color coordinate point of the D65 reference light source, the coordinates are (0.3127, 0.3290), and O represents the color coordinate point of the leather bag under the D65 reference light source, and the coordinates are (0.3455, 0.3374), and O ^* represents The color point of the bag that can reach the maximum saturation under this lighting fixture, the coordinates are (0.5783, 0.3972).

3. Set the saturation level from the user interface to 20%, and the target color point to be equal to [0.3455, 0.3374] + ([0.5783, 0.3972] - [0.3455, 0.3374]) * 0.2 = [0.3920, 0.3494].

4. Calculate k ₁ , k ₂ , k ₃ according to the color coordinates of the target color point, and establish an optimization problem (14). Here,

k ₁ =[0.3899,1.8063,-0.9731,-1.9757] ^T ,

k ₂ = [0.2602, -0.27000, -1.6757, -2.5521] ^T ,

k ₃ =[5.9001,5.9449,4.6202,8.1643] ^T , the luminous flux converted into the flux of 1W per channel is [311,174,482,46.4] (corresponding to WRGB respectively), and the maximum luminous flux per channel is [205.9, 24.3, 51.2, 6.4] (corresponding to WRGB respectively).

5. Solution optimization problem (14) The optimal solution flux vector is [0.6621, 0.0578, 0.1062, 0.1311] (corresponding to WRGB, respectively). The PWM dimming signal converted to four channels is (99%, 40%, 100%, 94%) (corresponding to WRGB, respectively).

According to the above process, the PWM values corresponding to different saturation levels of the test object under different reference light sources can be obtained. Here, taking the 6500K reference light source as an example, the four test objects in Table 3 are corresponding to the four different saturation levels. PWM value

Table 4 corresponds to the PWM dimming signal of different saturation levels of different analytes under the 6500K reference light source.

Example 11

According to an embodiment of the present invention, there is also provided a lighting control system, the color tunable light source in this embodiment being equivalent to the illuminating body in the embodiment of the present invention. Figure 38 is a schematic illustration of a lighting control system in accordance with a fourth embodiment of the present invention, as shown in Figure 38, the system comprising:

The memory 100, the color tunable light source 200, and the controller 300.

The memory 100 is configured to store a preset database, wherein the preset database has pre-stored dimming signal data corresponding to different light color temperature values and different colors.

A color tunable light source 200 for providing a light source to a target object.

The controller 300 is configured to receive a target light color temperature value and a target color, wherein the target light color temperature value is a color temperature value of the target light, and the target color is a color that the target object needs to be enhanced, and the target light color temperature value is searched in the preset database. The dimming signal data corresponding to the target color is obtained from the dimmed signal data obtained by the search, and the color driving light source is controlled by the light driving signal, wherein the light driving signal is used to control the light emitted by the color adjustable light source. The target color of the target object is enhanced, and the color temperature value of the light emitted by the color adjustable light source is controlled to be the color temperature value of the target light.

The lighting control system provided by the embodiment of the present invention stores a preset database through the memory 100, wherein the preset database has pre-stored dimming signal data corresponding to different light color temperature values and different colors. The color tunable light source 200 provides a light source for the target object. The controller 300 receives the target light color temperature value and the target color, wherein the target light color temperature value is the color temperature value of the target light, the target color refers to the color that the target object needs to be enhanced, and the target light color temperature value and the target color are searched in the preset database. Corresponding dimming signal data, the dimming signal data obtained by the finding obtains a light driving signal, and the color driving light source is controlled by the light driving signal, wherein the light driving signal is used to control the light emitted by the color adjustable light source to make the target object The target color is enhanced, and the color temperature of the light emitted by the color-adjustable light source is controlled to be the color temperature value of the target light. In the system, since the controller controls the color-adjustable light source to emit light, the light emitted by the color-adjustable light source enhances the target color of the target object, and the controller controls the color temperature of the light emitted by the color-adjustable light source to be the color temperature of the target light. The value ensures the quality of the light rendering while enhancing the color of the target object.

Example 12

According to an embodiment of the present invention, there is also provided a lighting control system, the color tunable light source in this embodiment being equivalent to the illuminating body in the embodiment of the present invention. Figure 39 is a schematic illustration of a lighting control system in accordance with a fifth embodiment of the present invention, as shown in Figure 39, the system comprising:

Sensor 100, memory 200, controller 300, and color tunable light source 400.

The sensor 100 is used to acquire an image of a target object.

There are various ways for the sensor 100 to acquire an image of a target object. Typically, the sensor 100 is an image sensor, and an image of the target object is captured by the image sensor to acquire an image of the target object.

The memory 200 is used to store a preset database.

The memory 200 is configured to store a preset database, where the preset database includes a plurality of preset databases, and the plurality of preset databases include a first preset database and a second preset database, where the first preset database is pre-stored corresponding to The target color samples of the different color parameters are pre-stored with the dimming signal data corresponding to the different target color samples.

Specifically, the first preset database may be obtained in the following manner, and the color gamut is divided into N parts, wherein N is greater than 1, and N color samples are taken to represent the N colors, and the hue value and saturation of each color sample are determined. The first preset database is used to store the hue value and the saturation value corresponding to each color sample and each color sample.

For example, taking N as 4 as an example, beef is a color sample representing color type 1, orange is a color sample representing color type 1, kumquat is a color sample representing color type 1, and cucumber is a color sample representing color type 1. . The color of each color sample under the standard light source D65 is considered to be the true color of the object. The xy color coordinates of each color sample are converted into red (R), green (G) blue (B) color three-point value, and the corresponding color three-component value is converted into HSV value, and the tone value and saturation of each sample are obtained. The values form the corresponding vector (Hi, Si) as shown in Table 5 below:

table 5

Color sample (Hi, Si) 1 (beef) (0.0105, 0.6521) 2 (orange) (0.0854, 0.5942) 3 (Kumquat) (0.172, 0.3550) 4 (cucumber) (0.3801, 0.3338)

In this step, a first preset database is obtained. Taking Table 5 as an example, the correspondence between the color samples in Table 5 and the saturation value and the tonal value is obtained. Among them, the color of beef, orange, kumquat and cucumber under the standard light source D65 is considered to be the true color of the object, representing different color types. Hi and Si represent tone values and saturation values. For example, the correspondence between the color sample and the saturation value and the tone value is obtained by Table 5. According to the correspondence relationship, the corresponding color sample can be found by the saturation value and the tonal value of the target object.

The controller 300 is configured to receive an image of the target object, determine a color parameter of the target object by using an image of the target object, search for a color sample corresponding to the color parameter in the first preset database, and search for a color sample in the second preset database. The corresponding dimming signal data is modulated to obtain the dimming signal data to obtain a light driving signal; and the color adjustable light source is controlled by the light driving signal.

The controller 300 receives an image of the target object collected by the sensor 100, and processes the image of the target object to acquire the color parameter of the target object.

Specifically, in order to improve the image processing speed of the target object by the controller 300, the image of the target object may be processed by performing white balance processing on the image of the target object, and performing white balance processing so that the image of the target object is not distorted. And the color of the target image is restored to normal. Determining the target area in the image of the processed target object may determine the target area by an edge detection technique or a manner in which the user directly specifies the target area. Determining the main color of the target area in the target area of the image of the target object, and determining the color of the main color of the target area A color component value that converts a color component value into a tone value and a saturation value.

Specifically, the main color of the target area may be determined by: acquiring pixel points in the image of the target object, wherein the pixel points include a plurality of pixel points; determining a plurality of color vectors of the pixel points, wherein, the plurality of color vectors Different color vectors correspond to different ones of the plurality of pixels; performing an averaging calculation on the plurality of color vectors to obtain an average vector; determining the average vector as the main color of the target area. Alternatively, the main color of the target area may be determined by: acquiring pixel points in the image of the target object, wherein the pixel points include a plurality of pixel points; determining a plurality of color vectors of the pixel points, wherein the plurality of color vectors are different The color vector corresponds to different pixel points of the plurality of pixels; the ratio of the statistical color vector in all the color vectors; the color vector with the highest ratio is obtained, and the color vector is determined as the main color of the target area.

The controller 300 is further configured to search for a color sample corresponding to the color parameter in the first preset database, and search for the dimming signal data corresponding to the color sample in the second preset database.

Preferably, in order to search for a color sample corresponding to the color parameter in the first preset database, the color control sample corresponding to the color parameter in the first preset database in the illumination control system provided by the embodiment of the present invention includes: Obtaining a first preset database, wherein the first preset database prestores different color samples and color parameters corresponding to different color samples, the color parameters include a hue value and a saturation value; and the hue in the first preset database The value and saturation values constitute a vector set, wherein the vector set includes a plurality of vectors, the plurality of vectors including the first vector and the second vector, wherein the vector set includes a plurality of vectors, the plurality of vectors including the first vector and the second vector And forming a target vector by the tonal value and the saturation value corresponding to the image of the target object; acquiring a first distance between the target vector and the first vector; acquiring a second distance between the target vector and the second vector; determining whether the first distance is smaller than the second a distance; in the case where the first distance is less than the second distance, obtaining a pair of tonal values and saturation values in the first vector a first color sample; the first color sample is determined as a target color sample corresponding to the image of the target object; and in a case where the first distance is greater than the second distance, obtaining a hue value and a saturation value corresponding to the second vector a second color sample; the second color sample is determined as a target color sample corresponding to the image of the target object.

The vector in the vector set corresponding to the minimum distance is obtained by determining the minimum distance between the target vector and the vector in the vector set, and the color samples corresponding to the hue value and the saturation value in the vector are determined as the color samples corresponding to the target color, and the operation is performed. Find the color samples corresponding to the color parameters more accurately.

Preferably, in order to improve the processing speed of enhancing the color of the target object, in the illumination control system provided by the embodiment of the present invention, searching for the dimming signal data corresponding to the color sample in the second preset database includes: in the second preset database The dimming signal data corresponding to the color sample is searched for, wherein the dimming signal data corresponding to the different color samples is pre-stored in the second preset database.

Specifically, the determined color samples are input into the second preset database to obtain a mapping relationship between the color samples and the dimming signal data in the second preset database. The dimming signal data corresponding to the color sample is obtained by the mapping relationship. The dimming signal data corresponding to the color sample is directly found in the second preset database. It is not necessary to calculate the dimming signal data through a large amount of data, and this step improves the processing speed of enhancing the color of the target object.

The controller 300 is further configured to modulate the obtained dimming signal data to obtain a light driving signal, and control the color adjustable light source to emit light through the light driving signal.

The dimming signal data corresponding to the found color sample is modulated, and the dimming signal data is converted into a light driving signal. The light source is controlled by the light driving signal obtained by the above, wherein the light driving signal is used to control the light emitted by the light source to illuminate the target object to enhance the color of the target object.

The color tunable light source 400 is used to provide a light source for the target object.

The color tunable light source 400 is controlled to emit light according to the light driving signal, and the light emitted by the color tunable light source 400 illuminates the target object to enhance the color of the target object.

The illumination control system provided by the embodiment of the present invention acquires an image of the target object through the sensor 100; the memory 200 stores a preset database; the color tunable light source 400 provides a light source for the target object; and the controller 300 receives the image of the target object through the target object. The image determines a color parameter of the target object, searches for a color sample corresponding to the color parameter in the first preset database, searches for the dimming signal data corresponding to the color sample in the second preset database, and performs the dimmed signal data obtained by the finding Modulation, to obtain a light drive signal; control the color adjustable light source by the light drive signal. In the lighting control system, the controller 300 finds a corresponding color sample through a color parameter; obtains dimming signal data through the color sample search; obtains a light driving signal through the dimming signal data, and the light driving signal drives the color adjustable The light source emits light to illuminate the target object to enhance the color of the target object. It is not necessary to obtain dimming signal data through a large number of calculations on the collected target object parameters, thereby obtaining a light driving signal to drive the color adjustable light source to emit light to illuminate the target object to enhance the color of the target object. Therefore, the processing speed of automatically recognizing the color of the target object to adjust the light to enhance the color of the target object is improved.

The serial numbers of the embodiments of the present invention are merely for the description, and do not represent the advantages and disadvantages of the embodiments. In the above-mentioned embodiments of the present invention, the descriptions of the various embodiments are different, and the parts that are not detailed in a certain embodiment can be referred to the related descriptions of other embodiments.

In the several embodiments provided by the present application, it should be understood that the disclosed technical contents may be implemented in other manners. The device embodiments described above are only schematic. For example, the division of the unit may be a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, unit or module, and may be electrical or otherwise. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. The integrated unit, if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium. A number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: a U disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and the like. .

The above description is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can also make several improvements and retouchings without departing from the principles of the present invention. It should be considered as the scope of protection of the present invention.

Claims (20)

A lighting control method, comprising: Obtaining a dimming signal of the illuminating body; The illumination body is controlled to emit light according to the dimming signal. The illumination control method according to claim 1, wherein the acquiring the dimming signal of the illuminating body comprises: Receiving a reference light source color temperature input by the user, a reflectance type of the surface of the object to be tested, and a spectrum type of the illuminating body; Detecting the reflectance distribution of the surface of the object to be tested by using a reflectance type of the surface of the object to be tested; Using the reference light source color temperature to query the reference light source spectrum of the illuminating body, the reference light source color coordinate, and querying, by using the illuminant spectrum type, the spectrum of each color channel of the illuminating body. Wherein the illuminating body provides a tonable light source for the object to be tested; Generating a target flux according to the reference light source spectrum of the illuminating body, the reference source color coordinate, the reflectance distribution spectrum of the surface of the object to be tested, and the spectrum of each color channel of the illuminating body to obtain a target radiant flux corresponding to the illuminating body ; Converting the target radiant flux into a dimming signal for each color channel of the illuminator. The illumination control method according to claim 2, wherein the reference light source spectrum of the illumination body, the reference source color coordinate, the reflectance distribution spectrum of the surface of the object to be tested, and the spectrum of each color channel of the illumination body are irradiated Flux calculation, obtaining the target radiation flux corresponding to the illuminating body includes: Obtaining a color coordinate of the object under test under the reference light source by calculation; Obtaining a color coordinate of a maximum saturation that can be achieved by the object under the condensable light source by calculation; Establishing a color coordinate according to the object under test at a reference light source, a maximum saturation color coordinate of the object to be tested under the reference light source, a spectrum of each color channel of the illumination body, and a target saturation level input by the user. a calculation model of the target radiant flux corresponding to the illuminating body; The target radiant flux is calculated according to a calculation model of the target radiant flux corresponding to the illuminating body. The illumination control method according to claim 1, wherein the acquiring the dimming signal of the illuminating body comprises: Receiving an identification mark of the object to be tested detected by the sensor, and a reference light source color temperature and a target saturation d input by the user; Using the identification mark to query the memory to obtain a reflectance distribution of the surface of the object to be tested; Using the reference source color temperature to query from the memory to obtain a reference source spectrum, a color coordinate of the reference source, and a color channel spectrum of the illuminator, wherein the illuminator provides a tonable light source for the object to be tested; Generating the illuminating body according to the target saturation d, the reference source spectrum, the color coordinates of the reference source, the reflectance distribution of the surface of the object to be tested, and the spectrum of each color channel of the illuminator. Target radiant flux; Converting the target radiant flux into a dimming signal for each color channel of the illuminator. The illumination control method according to claim 4, characterized in that, according to the target saturation d, the reference source spectrum, the color coordinates of the reference source, the reflectance distribution of the surface of the object to be tested, and the spectrum of each color channel of the illuminator Performing the radiant flux calculation to obtain the target radiant flux corresponding to the illuminating body includes: Acquiring a target color coordinate by calculation, wherein the target color coordinate is a color coordinate presented when the object to be tested reaches the target saturation d; Establishing a calculation model of the target radiant flux corresponding to the illuminating body according to the target color coordinate; The target radiant flux is calculated according to a calculation model of the target radiant flux corresponding to the illuminating body. The lighting control method according to claim 1, wherein Obtaining the dimming signal of the illuminating body includes: determining a target light color temperature value and a target color, wherein the target light color temperature value is a color temperature value of the target light, and the target color is a color that the target object needs to be enhanced; Searching for dimming signal data corresponding to the target light color temperature value and the target color, wherein the preset database prestores dimming signal data corresponding to different light color temperature values and different colors, Controlling the illumination of the illumination body according to the dimming signal comprises: modulating the obtained dimming signal data to obtain a light driving signal; and controlling the illumination of the illumination body by the light driving signal, wherein the lighting driving signal is used for Controlling the light emitted by the illuminating body to illuminate the target object to enhance the target color of the target object, and controlling a color temperature value of the light emitted by the illuminating body to be a color temperature value of the target light. The illumination control method according to claim 6, wherein the preset database is obtained by: Creating an optimization equation, wherein the optimization equation is used to calculate a radiant flux, the radiant flux being a physical quantity representing a radiation intensity of the illuminating body; Performing a calculation process on the optimization equation to obtain an optimal solution of the radiant flux; Obtaining dimming signal data according to an optimal solution of the radiant flux; A preset database is created, wherein the preset database is used to store the dimming signal data. The illumination control method according to claim 7, wherein the optimization equation is created in the following manner: Creating a target equation, wherein the target equation is a spectrum of a standard light source, a tristimulus value function of a human eye, a reflectance data of a standard diffuse reflector, a reflectance data of a target color sample, a relative spectrum of the illuminant, and a An equation created by the radiant flux; Creating a constraint equation, wherein the constraint equation is a spectrum of the standard light source, the target light color temperature value, the human eye tristimulus value function, reflectivity data of the standard diffuse reflector, the target color The reflectance data of the sample, the reflectance data of the contrast color sample of the target color sample, the relative spectrum of the illuminant, and an equation created by the radiant flux; The optimization equation is created by the target equation and the constraint equation. The lighting control method according to claim 1, wherein Obtaining a dimming signal of the illuminating body includes: acquiring a color parameter of the target object; searching for a target color sample in the first preset database, wherein the target color sample is a color sample corresponding to the color parameter, wherein the Different color samples and color parameters corresponding to the different color samples are prestored in the first preset database; and dimming signal data corresponding to the target color samples is searched in the second preset database, wherein the Two dimming signal data corresponding to different target color samples are pre-stored in the preset database; Controlling the illumination of the illumination body according to the dimming signal comprises: modulating the obtained dimming signal data to obtain a light driving signal; and controlling the illumination of the illumination body by the light driving signal, wherein the lighting driving signal is used for Controlling the light emitted by the illuminating body to illuminate the target object to enhance the color of the target object. The illumination control method according to claim 9, wherein the color parameter of the target object is acquired by: wherein the color parameter comprises a plurality of color parameters, the plurality of color parameters including a tone value And saturation values: Obtaining an image of the target object; Performing white balance processing on the image of the target object to acquire an image of the processed target object; Determining a target area in the image of the processed target object; Determining a primary color of the target area; Determining a color component value of a primary color of the target area; The color component values are converted to a hue value and a saturation value. A lighting control device, comprising: Obtaining a total module for obtaining a dimming signal of the illuminating body; And a control total module, configured to control the illumination body to emit light according to the dimming signal. The lighting control apparatus according to claim 11, wherein the acquisition total module comprises: a receiving module, configured to receive a reference light source color temperature input by the user, a reflectivity type of the surface of the object to be tested, and a spectrum type of the illuminating body; a query module, configured to query, by using a reflectivity type of a surface of the object to be tested, a reflectance distribution of the surface of the object to be tested from a memory; The query module is further configured to query, by using the reference light source color temperature, the reference light source spectrum and the reference light source color coordinate of the illuminating body from the memory, and query the illuminating body from the memory by using the illuminating body spectral type Each color channel spectrum, wherein the illuminating body provides a tonable light source for the object to be tested; a calculation module, configured to perform a radiant flux calculation according to a reference light source spectrum of the illuminating body, a reference source color coordinate, a reflectance distribution spectrum of the surface of the object to be tested, and a spectrum of each color channel of the illuminator, to obtain the illumination The target radiant flux corresponding to the body; And a conversion module, configured to convert the target radiant flux into a dimming signal of each color channel of the illuminating body. The lighting control apparatus according to claim 11, wherein the acquisition total module comprises: a receiving module, configured to receive an identifier of the object to be detected detected by the sensor, and a reference source color temperature and a target saturation d input by the user; a query module, configured to query, from the memory, the reflectivity distribution of the surface of the object to be tested by using the identifier; The query module is further configured to query, by using the reference source color temperature, the reference source spectrum, the color coordinates of the reference source, and the color channel spectrum of the illuminator, wherein the illuminant provides the object to be tested Colorable light source; a calculation module, according to the target saturation d, the reference light source spectrum, the color coordinate of the reference light source, the reflectance distribution of the surface of the object to be tested, and the spectrum of each color channel of the illuminator, the radiant flux calculation is performed, and the illuminating body correspondingly is obtained. Target radiant flux; And a conversion module, configured to convert the target radiant flux into a dimming signal of each color channel of the illuminating body. The lighting control apparatus according to claim 11, wherein the acquisition total module comprises: The obtaining total module includes: a determining unit, configured to determine a target light color temperature value and a target color, wherein the target light color temperature value is a color temperature value of the target light, and the target color refers to a color that the target object needs to be enhanced; a unit, configured to search, in a preset database, dimming signal data corresponding to the target light color temperature value and the target color, wherein the preset database pre-stores a tone corresponding to different light color temperature values and different colors Optical signal data, The control module includes: an obtaining unit, configured to obtain a light driving signal from the obtained dimming signal data; and a control unit configured to control the illuminating body illuminating according to the light driving signal, wherein the light driving signal is used for Controlling the light emitted by the illuminating body to enhance the target color of the target object, and controlling the color temperature value of the light emitted by the illuminating body to be a color temperature value of the target light. The lighting control device according to claim 11, wherein The acquiring the total module includes: a first acquiring unit, configured to acquire a color parameter of the target object; and a first searching unit, configured to search, in the first preset database, a target color sample corresponding to the color parameter, where the The first preset database prestores different color samples and color parameters corresponding to the different color samples; the second searching unit is configured to search for dimming signal data corresponding to the target color sample in the second preset database. The dimming signal data corresponding to different target color samples is pre-stored in the second preset database; The control module includes: a second acquiring unit, configured to modulate the obtained dimming signal data to obtain a light driving signal; and a control unit configured to control the illuminating body to emit light, wherein the light The driving signal is used to control the light emitted by the illuminating body to illuminate the target object to enhance the target color of the target object. A lighting control system, comprising: Illumination body; And a total controller, configured to acquire a dimming signal of the illuminating body, and control the illuminating body to emit light according to the dimming signal. The lighting control system of claim 16 wherein said total controller comprises: a memory for storing a spectrum of each color channel of the illuminator, a reference source spectrum of the illuminating body, a color coordinate of the reference source, and a reflectance distribution spectrum of a surface of the object to be tested; a controller, configured to receive a reference light source color temperature input by the user, a reflectivity type of the surface of the object to be tested, and a type of the illuminating body spectrum, and use the reflectivity type of the surface of the object to query the surface of the object to be tested Rate distribution spectrum; using the reference source color temperature to query the reference light source of the illuminant, the reference source color coordinates, and querying the color channel spectrum of the illuminator from the memory by using the illuminant spectrum type And performing a radiant flux calculation according to the reference light source, the reference source color coordinate, the reflectance distribution of the surface of the object to be tested, and the spectrum of each color channel of the illuminating body, to obtain a target radiant flux corresponding to the illuminating body; The target radiant flux is converted into a dimming signal of each color channel provided by the illuminating body, wherein the illuminating body is used to provide a tonable light source for the object to be tested. The lighting control system of claim 16 wherein said total controller comprises: a memory for storing a spectrum of each color channel of the illuminator, a reference source spectrum of the illuminating body, a spectral color coordinate of the reference source, and a reflectance distribution of the surface of the object to be tested; a sensor, configured to transmit an identification mark to the controller by sensing, wherein the identification mark is associated with the object to be tested; a controller, configured to receive an identification identifier of the object to be tested detected by the sensor, and a reference light source color temperature and a target saturation d input by the user, using the identification identifier to query the reflectivity of the surface of the object to be tested from the memory a reference light source spectrum of the illuminating body, a reference light source spectral color coordinate, and a illuminating body color channel spectrum are obtained by using the reference light source color temperature, according to the target saturation d, the reference source of the illuminating body Generating the flux of the spectrum, the spectral color coordinate of the reference source, the reflectance distribution of the surface of the object to be tested, and the spectrum of each color channel of the illuminator to obtain a target radiant flux corresponding to the illuminating body; converting the target radiant flux into a dimming signal of each color channel of the illuminator, wherein the illuminating body is configured to provide a tonable light source for the object to be tested. The lighting control system of claim 16 wherein said total controller comprises: a memory for storing a preset database, wherein the preset database has pre-stored dimming signal data corresponding to different light color temperature values and different colors; a controller, configured to receive a target light color temperature value and a target color, wherein the target light color temperature value is a color temperature value of the target light, the target color refers to a color that the target object needs to be enhanced, and the target database is searched for And the dimming signal data corresponding to the target light color temperature value and the target color, the light driving signal is obtained from the obtained dimming signal data, and the lighting body is controlled to emit light by the light driving signal, wherein the light The driving signal is used for controlling the light emitted by the illuminating body to enhance the target color of the target object, and controlling the color temperature value of the light emitted by the illuminating body to be a color temperature value of the target light, wherein the illuminating body is used for A light source is provided for the target object. The lighting control system of claim 16 wherein said total controller comprises: a sensor for acquiring an image of a target object; The storage is configured to store a preset database, where the preset database includes a plurality of preset databases, where the plurality of preset databases include a first preset database and a second preset database, and the first preset database Different color samples and color parameters corresponding to the different color samples are prestored, and dimming signal data corresponding to different color samples are pre-stored in the second preset database; a controller, configured to receive an image of the target object, determine a color parameter of the target object by using an image of the target object, and search for a color sample corresponding to the color parameter in the first preset database, in the second preset database Searching for the dimming signal data corresponding to the color sample, modulating the obtained dimming signal data to obtain a light driving signal; controlling the illuminating body illumination by the light driving signal, wherein the lighting driving signal is used for controlling The light emitted by the illuminating body illuminates the target object to enhance the color of the target object, wherein the illuminating body is used to provide a light source for the target object.

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