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WO2015068495A1 - Dispositif de capture d'images d'organes - Google Patents

Dispositif de capture d'images d'organes Download PDF

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Publication number
WO2015068495A1
WO2015068495A1 PCT/JP2014/075886 JP2014075886W WO2015068495A1 WO 2015068495 A1 WO2015068495 A1 WO 2015068495A1 JP 2014075886 W JP2014075886 W JP 2014075886W WO 2015068495 A1 WO2015068495 A1 WO 2015068495A1
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WO
WIPO (PCT)
Prior art keywords
tongue
distribution
organ
unit
data distribution
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2014/075886
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English (en)
Japanese (ja)
Inventor
松田　伸也
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Konica Minolta Inc
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Konica Minolta Inc
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Filing date
Publication date
Application filed by Konica Minolta Inc filed Critical Konica Minolta Inc
Publication of WO2015068495A1 publication Critical patent/WO2015068495A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4538—Evaluating a particular part of the muscoloskeletal system or a particular medical condition
    • A61B5/4542—Evaluating the mouth, e.g. the jaw
    • A61B5/4552—Evaluating soft tissue within the mouth, e.g. gums or tongue
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
    • A61B5/0088—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for oral or dental tissue
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/1032—Determining colour of tissue for diagnostic purposes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1077—Measuring of profiles
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing

Definitions

  • the present invention relates to an organ image photographing apparatus for photographing an organ of a living body and detecting the thickness (degree of thickness) of the organ.
  • a diagnostic method for diagnosing a health condition or medical condition by observing the state of the tongue is known.
  • the physical condition and health level are judged based on the color and shape of the tongue (more precisely, tongue and moss).
  • One of the diagnostic items in tongue examination is the size (thickness) of the tongue. Poor water metabolism leads to a so-called swollen state, bulging and thickening of the tongue (referred to as enormous). Conversely, when the blood flow is insufficient or the water is insufficient, the tongue becomes thin and thin (this is called thinning). These states are called water stagnation or tuna in Oriental medicine, and when it becomes severe, it becomes edema or dehydration.
  • Patent Document 1 a tongue is photographed with a camera to extract a region of interest such as a tongue apex, a tongue, a tongue base, or a tongue base, and an individual's health condition can be easily diagnosed based on a state change of the region of interest. I have to.
  • Patent Document 2 an index for diagnosing the state of blood or blood vessels is obtained by photographing the tongue with a camera and detecting the color and gloss of the tongue separately.
  • Patent Document 3 polar coordinates with the center of gravity of the tongue as the origin are set, the variance of the radius for each angle (the distance between the center of gravity of the tongue and the point on the contour line) is calculated, and the tongue is based on the value of this variance.
  • the outer shape (circularity) is determined. Specifically, when the variance value is small, it is judged that the tongue is enlarged (in plan view) and close to a circle, and when the variance value is large, the tongue is thinned (in plan view). Judged to be close to a triangle.
  • JP 2011-239926 A (refer to claim 1, paragraph [0028] etc.)
  • Japanese Patent Laying-Open No. 2005-137756 (refer to claim 3, paragraphs [0071] to [0074], FIG. 5, FIG. 6, etc.)
  • Patent Documents 1 and 2 do not mention detection of the thickness of the tongue at all.
  • the outer shape of the tongue there are individual differences in the outer shape of the tongue, and the outer shape and thickness of the tongue do not necessarily correspond.
  • there is a muscular tissue inside the tongue and the outer shape differs depending on the developmental state and how to apply force.
  • the state where the tongue is thick is a so-called “swelling state” in which the muscle tissue contains a large amount of water.
  • the external shape of the tongue varies depending on individual differences and how the force is applied. Therefore, in the diagnosis of health based on the tongue thickness, the thickness of the tongue is accurately detected regardless of the external shape of the individual tongue. It is necessary.
  • the present invention has been made to solve the above-described problems, and an object thereof is to provide an organ imaging apparatus capable of accurately detecting the thickness of an organ regardless of the outer shape of each organ. There is to do.
  • An organ image capturing apparatus includes a data distribution acquisition unit that captures an organ of a living body and acquires a horizontal data distribution indicating a degree of unevenness on the surface of the organ, and the data distribution acquisition unit And a detecting unit for detecting the thickness of the organ based on the unevenness of the data distribution acquired in (1).
  • the thickness of the organ can be accurately detected regardless of the external shape of the individual organ.
  • It is explanatory drawing which shows the positional relationship of the illumination part of the said organ imaging
  • It is explanatory drawing which shows the picked-up image of the tongue by the said imaging part, the edge extraction filter, and the outline of the tongue extracted from the said picked-up image using the said edge extraction filter.
  • Photographing the tongues of multiple people, acquiring the horizontal height distribution of the tongue surface, and approximating a partial area with a polynomial, the second-order coefficient of the above polynomial, and the Chinese medicine for each tongue It is explanatory drawing which shows the relationship with the finding of tongue thickness when actually performing a tongue examination. It is a flowchart which shows the flow of operation
  • the numerical value range includes the values of the lower limit A and the upper limit B.
  • FIG. 1 is a perspective view showing an external appearance of an organ image photographing apparatus 1 of the present embodiment
  • FIG. 2 is a block diagram showing a schematic configuration of the organ image photographing apparatus 1.
  • the organ image capturing apparatus 1 captures an organ of a living body and extracts information necessary for diagnosis of health.
  • the subject to be imaged is a tongue as an organ of a living body is shown.
  • the organ image photographing apparatus 1 includes an illumination unit 2, a light projecting unit 3, an imaging unit 4, a display unit 5, an operation unit 6, and a communication unit 7.
  • the illumination unit 2 and the light projecting unit 3 are provided in the casing 21, and the other components (the imaging unit 4, the display unit 5, the operation unit 6, and the communication unit 7) are provided in the casing 22.
  • casing 22 are connected so that relative rotation is possible, rotation is not necessarily required and one side may be completely fixed to the other.
  • etc., May be provided in the single housing
  • the organ image photographing device 1 may be composed of a multifunctional portable information terminal.
  • the illumination unit 2 is composed of an illuminator that illuminates a subject to be photographed from above.
  • a light source that emits a daylight color such as a xenon lamp is used.
  • the brightness of the light source varies depending on the sensitivity of the imaging unit 4 and the distance to the shooting target. As an example, it is possible to consider the brightness at which the illuminance of the shooting target is 1000 to 10000 lx.
  • the illumination unit 2 has a lighting circuit and a dimming circuit in addition to the light source.
  • the light projecting unit 3 is composed of a light projector that projects (irradiates) linear light in a horizontal direction onto the surface of the tongue, which is an organ to be imaged.
  • the horizontal direction refers to a direction perpendicular to a line connecting the tip of the tongue (the tip of the tongue) and the root (the base of the tongue) (the same applies hereinafter). Details of the light projecting unit 3 will be described later.
  • the imaging unit 4 captures an image of a living organ and acquires an image, and includes an imaging lens and an area sensor (imaging device).
  • the aperture (brightness of the lens), shutter speed, and focal length of the imaging lens are set so that the entire range to be photographed is in focus.
  • F number 16, shutter speed: 1/120 seconds, focal length: 20 mm.
  • the area sensor is composed of image sensors such as CCD (Charge Coupled Device) and CMOS (Complementary Metal Oxide Semiconductor), and the sensitivity and resolution are set so that the color and shape of the subject can be detected sufficiently.
  • image sensors such as CCD (Charge Coupled Device) and CMOS (Complementary Metal Oxide Semiconductor)
  • sensitivity and resolution are set so that the color and shape of the subject can be detected sufficiently.
  • sensitivity 60 db
  • resolution 10 million pixels.
  • the imaging unit 4 includes a focus mechanism (not shown), a diaphragm mechanism, a drive circuit, an A / D conversion circuit, and the like.
  • a focus mechanism not shown
  • a diaphragm mechanism for example, data of 0 to 255 in 8 bits is acquired for each of red (R), green (G), and blue (B) as captured image data.
  • FIG. 3 is an explanatory diagram showing the positional relationship among the illumination unit 2, the light projecting unit 3, and the imaging unit 4 with respect to the subject to be photographed (tongue and face).
  • the imaging unit 4 is arranged to face the subject to be photographed.
  • the illuminating unit 2 is disposed so as to illuminate the imaging target at an angle A of, for example, 0 ° to 45 ° with respect to the imaging optical axis X of the imaging unit 4 passing through the imaging target.
  • the light projecting unit 3 projects linear light onto the imaging target at an angle B that is, for example, in the range of 0 ° to 45 ° with respect to the imaging optical axis X and is larger than the angle A.
  • the imaging optical axis X refers to the optical axis of the imaging lens that the imaging unit 4 has.
  • the angle A during illumination is large, the range in which the tongue can be photographed becomes small due to the shadow of the upper lip. Conversely, when the angle A is small, the color jump due to regular reflection increases. Also, if the angle B at the time of projection is large, the amount of deformation when linear light deforms along the irregularities on the tongue surface increases, so the irregularities on the tongue surface can be accurately determined based on the shape of the projected light. Although it can be detected well, conversely, if the angle B is small, the detection accuracy of the unevenness decreases.
  • the preferable range of the angle A is 15 ° to 30 °
  • the preferable range of the angle B is 30 ° to 45 °.
  • a ⁇ B is 15 ° to 30 °.
  • the display unit 5 has a liquid crystal panel (not shown), a backlight, a lighting circuit, and a control circuit, and displays an image acquired by photographing with the imaging unit 4.
  • the display unit 5 can also display information acquired from the outside via the communication unit 7 (for example, a result of diagnosis by transmitting information to an external medical institution).
  • the operation unit 6 is an input unit for instructing imaging by the imaging unit 4, and includes an OK button (imaging execution button) 6a and a CANCEL button 6b.
  • the display unit 5 and the operation unit 6 are configured by a common touch panel display device 31, and the display area of the display unit 5 and the display area of the operation unit 6 in the touch panel display device 31 are separated.
  • the operation unit 6 may be configured by an input unit other than the touch panel display device 31 (the operation unit 6 may be provided at a position outside the display area of the touch panel display device 31).
  • the communication unit 7 transmits the image data acquired by the imaging unit 4 and the data processed by the image processing unit 16 and the detection unit 18 described later to the outside via a communication line (including wired and wireless). And an interface for receiving information from the outside.
  • the organ imaging apparatus 1 further includes an illumination control unit 11, a light projection control unit 12, an imaging control unit 13, a display control unit 14, an operation control unit 15, an image processing unit 16, a storage unit 17, a detection unit 18, and communication control.
  • a unit 19 and an overall control unit 20 for controlling these units are provided.
  • the illumination control unit 11, the light projection control unit 12, the imaging control unit 13, the display control unit 14, the operation control unit 15, and the communication control unit 19 are the illumination unit 2, the light projection unit 3, the imaging unit 4, and the display unit 5.
  • the operation unit 6 and the communication unit 7 are controlled.
  • the overall control unit 20 is composed of, for example, a CPU (Central Processing Unit).
  • the illumination control unit 11, the light projection control unit 12, the imaging control unit 13, the display control unit 14, the operation control unit 15, the communication control unit 19, and the overall control unit 20 are integrated (for example, with one CPU). ) May be configured.
  • the image processing unit 16 obtains a horizontal data distribution indicating the degree of unevenness on the surface of the organ from the image taken by the imaging unit 4, and the data distribution together with the illumination unit 2, the light projecting unit 3, and the imaging unit 4.
  • the acquisition unit is configured.
  • the horizontal data distribution may be (1) distribution of the height of the surface of the tongue, (2) distribution of image data of any of RGB colors included in the captured image of the tongue surface, or It may be a data distribution indicating the component ratio of any of the RGB colors.
  • the image processing unit 16 projects the height of the tongue surface from the curved shape of the linear light projected on the tongue surface by the light projecting unit 3 and photographed by the imaging unit 4. It functions as a height distribution acquisition unit that acquires.
  • the image processing unit 16 extracts image data of at least one of RGB colors from the photographed image of the tongue acquired by the imaging unit 4 under illumination by the illumination unit 2.
  • it functions as a distribution creating unit that creates a distribution of image data of any of RGB colors or a distribution of data indicating a component ratio of any of RGB colors. Details of the data distribution will be described later.
  • the image processing unit 16 also has a function of extracting an organ outline from the image acquired by the imaging unit 4. Extraction of the outline of the organ can be performed by extracting the luminance edge of the captured image (the portion in which the brightness changes abruptly in the image). The luminance edge is extracted, for example, as shown in FIG. Such an edge extraction filter can be used.
  • the edge extraction filter is a filter that weights pixels in the vicinity of the target pixel when performing first-order differentiation (when obtaining a difference in image data between adjacent pixels).
  • the edge extraction filter for example, for the G image data of each pixel of the captured image, the difference between the image data is calculated between the target pixel and the neighboring pixel, and the pixel whose difference value exceeds a predetermined threshold is extracted. Thus, a pixel that becomes a luminance edge can be extracted. Since there is a luminance difference due to the shadow around the tongue, the contour line of the tongue can be extracted by extracting pixels that become luminance edges as described above.
  • G image data having the greatest influence on the luminance is used for the calculation, R or B image data may be used.
  • the speckled white portion found in the center of the tongue is called moss, and its color is called moss.
  • the color of the red part other than the above in the tongue is called the tongue color.
  • the storage unit 17 stores image data acquired by the imaging unit 4, data processed by the image processing unit 16 and the detection unit 18, information received from the outside, and operates the various control units described above.
  • This is a memory for storing a program for this purpose.
  • the detecting unit 18 detects the organ thickness (thickness degree) based on the unevenness of the data distribution acquired by the image processing unit 16. In particular, the detection unit 18 quantifies the thickness of the detected organ and determines the tongue thickness in the tongue examination. Details of the detection of the thickness of the organ (tongue) and the determination of the tongue thickness will be described later.
  • FIG. 5 is a perspective view illustrating a schematic configuration of the light projecting unit 3.
  • the light projecting unit 3 includes a point light source 41 and a columnar lens 42, and a drive circuit (not shown) that drives the point light source 41.
  • the point light source 41 is configured by an LD (Laser Diode) or an LED (Light Emitting Diode).
  • the columnar lens 42 is a columnar condensing lens in the horizontal direction that condenses the light emitted from the point light source 41 only in one direction (for example, the vertical direction). As the light emitted from the point light source 41 is condensed in one direction by the columnar lens 42, linear light that is long in the horizontal direction is projected onto the surface of the tongue as shown in FIG.
  • FIG. 7 shows a photographed image obtained by photographing linear light (shown by a thick solid line) projected on the tongue surface by the light projecting unit 3 with the imaging unit 4 when the tongue is thin and thick.
  • the cross-sectional shape is shown.
  • the portion of the photographed image that is not the tongue surface is represented by a straight line indicating a height reference 0 (see FIGS. 8 and 9) described later.
  • the projected linear light is slightly curved upward at the tongue portion.
  • the projected linear light is greatly curved upward at the tongue portion.
  • the thickness of the tongue (whether the tongue is thick or thin) can be detected by detecting the curved shape of the projected linear light.
  • the method of detecting the shape of the subject by irradiating the subject with linear light is also called a light cutting method.
  • the organ to be imaged is the tongue
  • a point light source that emits G or B light which is a complementary color of the tongue color (R)
  • the point light source 41 the point light source 41 that emits G or B light, which is a complementary color of the tongue color (R)
  • the curved shape of the projected light can be detected by photographing with the imaging unit 4 by adjusting the amount of emitted light.
  • the light projection part 3 is comprised using the point light source 41 and the columnar lens 42
  • the structure of the light projection part 3 is not necessarily limited to this.
  • a slit having an elongated opening in the horizontal direction may be arranged, and linear light may be projected onto the tongue surface in the horizontal direction through the opening.
  • a polygon mirror may be disposed in place of the columnar lens 42, and light may be projected in the horizontal direction by scanning the light from the light source at high speed in the horizontal direction with the polygon mirror.
  • the internal tongue muscle includes an upper longitudinal tongue muscle that winds up the side of the tongue upward, a lateral tongue muscle that stretches the tongue thinly, and a vertical tongue muscle that spreads the tongue flatly. When photographing the tongue, it is instructed to spread the tongue sideways, but depending on the person, there may be unconscious power.
  • FIG. 8 shows the relationship between the thickness of the tongue and the movement of the tongue by the muscles.
  • the image processing unit 16 displays the curved shape from the curved shape.
  • a data distribution as shown in FIG. This data distribution indicates the degree of unevenness on the tongue surface, and is a height distribution in which the height changes according to the unevenness on the tongue surface. Note that (a1) to (a3) show the height distribution in the horizontal direction when the tongue is thin, and (b1) to (b3) show the height distribution in the horizontal direction when the tongue is thick.
  • the linear light projected from the light projecting unit 3 is projected so as to pass through the substantially vertical center of the tongue surface as shown in FIG. Therefore, the height distribution shown in FIG. 8 is obtained as a horizontal height distribution that passes through a substantially vertical center of the tongue surface.
  • the vertical direction on the surface of the tongue refers to the direction connecting the tip of the tongue (the tongue tip) and the root (the tongue base) (the same applies hereinafter).
  • the detection unit 18 sets a region A that is closer to the end than the center in the horizontal direction in the height distribution of the tongue surface acquired by the image processing unit 16.
  • the region A is a region determined by the dimensional relationship shown in FIG. 9 (with a width W / 4 at a distance of W / 8 from the end of the tongue, where W is the width of the tongue determined from the contour line of the tongue. Area).
  • the said edge part may be an edge part on either side with respect to the center part of a tongue.
  • the height distributions of (a1) to (a3) and (b1) to (b3) in FIG. 9 correspond to those shown in FIG.
  • the detection unit 18 approximates the shape of the region A in the height distribution with a polynomial, detects irregularities on the surface of the tongue (the degree of curvature of the shape) based on the coefficients of the approximated polynomial, and determines from the irregular shapes Detect the thickness of the tongue.
  • the second-order coefficient of the approximate polynomial is 0 or a positive value.
  • the quadratic coefficient of the approximate polynomial is a negative value. Note that the thicker the tongue, the greater the negative value of the coefficient.
  • the degree of unevenness of the shape (height distribution) of the region A can be obtained to determine whether the tongue is thin or thick.
  • FIG. 10 shows a quadratic coefficient of the approximate polynomial of region A when a plurality of people's tongues are photographed and the horizontal height distribution of the tongue surface is acquired, and the Chinese doctor actually Shows the relationship with the findings of tongue thickness when the tongue was examined. From the figure, it can be seen that there is a high correlation between the quadratic coefficient of the approximate polynomial and the findings of Chinese medicine. That is, it can be said that the tongue is thicker as the secondary coefficient is larger (the value is larger on the plus side), the tongue is thinner, and the secondary coefficient is smaller (the value is larger on the minus side).
  • the correlation coefficient indicating the degree of correlation between the second-order coefficient and the findings of the Chinese medicine doctor was a high value of 0.88.
  • the detection unit 18 can detect and determine the thickness of the tongue based on the second-order coefficient of the approximate polynomial. For example, when the secondary coefficient is 0.003 or more, it can be determined that the tongue is thin, and when the secondary coefficient is 0 or less, it can be determined that the tongue is thick, When the second-order coefficient is greater than 0 and less than 0.003, the tongue thickness can be determined to be medium.
  • the correlation shown in FIG. 10 may be stored in the storage unit 17 as a table, and the detection unit 18 may determine the thickness of the tongue from the secondary coefficient with reference to the above table.
  • the degree of the thickness of the tongue is quantified in three stages, “1” to “3”, corresponding to “tongue is thin”, “medium”, and “tongue is thick”. However, if the level of the thickness of the tongue is digitized in this way, the health level of the subject can be easily diagnosed based on the numeric value.
  • FIG. 11 is a flowchart showing an operation flow in the organ image capturing apparatus 1 of the present embodiment.
  • the illumination control unit 11 turns on the illumination unit 2 (S1), and sets photographing conditions such as illuminance (S2). ).
  • the imaging control unit 13 controls the imaging unit 4 to shoot the tongue that is the shooting target (S3).
  • the image processing unit 16 extracts the contour line of the tongue from the photographed image of the tongue (S4). Then, the image processing unit 16 detects the upper and lower ends and left and right ends of the tongue from the extracted contour line Q, and detects the length and width of the tongue (length and width in the vertical direction of the tongue) (S5). Next, the light projecting control unit 12 controls the light projecting unit 3 to project linear light in the horizontal direction substantially at the center of the tongue surface in the vertical direction (S6).
  • the linear light projected on the tongue surface bends along the shape of the tongue surface.
  • the imaging unit 4 captures the curved shape of the linear light (S7)
  • the image processing unit 16 determines the horizontal direction of the tongue surface from the curved shape of the captured light, as shown in FIGS.
  • a height distribution is acquired (S8).
  • the detection unit 18 approximates the shape of a part of the region A of the height distribution with a second-order polynomial (S9), and refers to the table shown in FIG.
  • the degree of the thickness of the tongue is digitized (S10). Thereby, the detection unit 18 can diagnose the health level of the subject based on the numerical value of the tongue thickness.
  • the detection result of the tongue thickness and the diagnosis result of the health level of the subject are displayed on the display unit 5, but are output (recorded) to an output device (not shown) or transferred to the outside via the communication unit 7 as necessary. (S11).
  • the detection result of the tongue thickness may be digitized and transmitted to the outside, and the health level of the subject may be diagnosed outside.
  • the image processing unit 16 acquires a horizontal data distribution (height distribution) indicating the degree of unevenness on the tongue surface from the captured image obtained by the imaging unit 4. Even when the outer shape of the tongue varies depending on individual differences and how the force is applied, the horizontal data distribution is obtained regardless of the individual outer shape of the tongue as indicating the degree of unevenness of the tongue surface. Therefore, the detection unit 18 can accurately detect the thickness of the tongue (thick or thin) regardless of the outer shape based on the unevenness of the data distribution.
  • the detection unit 18 detects the tongue thickness of the tongue diagnosis based on the unevenness of the data distribution, so that it is possible to determine the health level of the subject based on the tongue thickness. Become.
  • the data distribution is a distribution of the height of the tongue surface, it is possible to realize a data distribution that reliably reflects the degree of unevenness of the tongue surface.
  • the imaging unit 4 captures a shape of the linear light projected by the light projecting unit 3 and deformed according to the unevenness of the tongue surface, and the height distribution of the tongue surface is taken from the shape to the image processing unit 16. Have acquired.
  • the height distribution of the tongue surface can be easily obtained by using the light cutting method.
  • the detection unit 18 performs approximation by a polynomial only for a partial region A of the height distribution. By doing in this way, processing time can be shortened compared with the case where the whole shape of height distribution is approximated with a polynomial (over the whole width W).
  • the region A is a region corresponding to the end portion side of the horizontal portion of the tongue in the height distribution. Regardless of whether the tongue is thin or thick, the region corresponding to the central portion of the tongue in the height distribution is nearly flat, making it difficult to detect the tongue thickness based on the coefficients of the approximate polynomial. Therefore, as in this embodiment, by approximating the shape of the region A shifted from the center of the tongue toward the end in the height distribution with a polynomial, the concave or convex shape of the tongue surface can be reliably detected. The degree of tongue thickness can be reliably detected.
  • a quadratic expression is used as the approximate polynomial. Based on the sign of the second-order coefficient, it can be easily determined whether the shape of the tongue surface is concave or convex, and therefore the degree of tongue thickness can be easily detected from the uneven shape.
  • the above-mentioned height distribution is a horizontal data distribution that passes through almost the center in the vertical direction on the surface of the tongue.
  • the horizontal uneven shape of the tongue surface is almost the same at any position in the vertical direction, so the thickness of the tongue is calculated from the uneven shape of the data distribution passing through the approximate center in the vertical direction.
  • FIG. 12 is an explanatory diagram schematically showing another setting method of the region A in the horizontal data distribution (height distribution).
  • the region A (a part of the height distribution) in which the detection unit 18 approximates the shape of the height distribution may include a data distribution of the end portion of the tongue.
  • the detection unit 18 approximates the shape of the height distribution in the region A (curvature) with a circle and detects its radius
  • the following relationship is obtained. That is, when the radius of the approximate circle when the tongue is thin is R1 (mm) and the radius of the approximate circle when the tongue is thick is R2 (mm), the radius R1 is significantly smaller than the radius R2. It was. Therefore, it is easy to determine whether the tongue is thick or thin based on the radius of the circle approximating the region A, and the detection accuracy of the tongue thickness can be further improved.
  • FIG. 13 is a distribution of image data obtained when the surface of the tongue is imaged by the imaging unit 4 under illumination by the illuminating unit 2, and the captured image in the horizontal direction passing through the substantially vertical center of the tongue surface.
  • the distribution of RGB image data is shown. However, the upper distribution is for the case where the tongue is thin, and the lower distribution is for the case where the tongue is thick.
  • the solid line indicates the distribution of R image data, the alternate long and short dash line indicates the distribution of G image data, and the broken line indicates the distribution of B image data.
  • the tongue When the tongue is thick, the tongue includes a portion that protrudes upward from the end to the center (see (b1) to (b3) of FIG. 8). Since such a convex portion on the tongue surface is brightly illuminated as it approaches the illumination unit 2, the value of the image data increases in the portion corresponding to the convex portion in the photographed image of the tongue.
  • the surface of the tongue when the tongue is thin, the surface of the tongue includes a portion that is substantially flat from the end to the center, or includes a concave portion (see (a1) to (a3) in FIG. 8). Since the flat part and recessed part of the tongue surface move away from the illumination part 2 compared with said convex part, even if illuminated, it is darker than a convex part.
  • the value of the image data decreases in the portion corresponding to the flat portion or the concave portion on the surface compared to the portion corresponding to the convex portion. This tendency is the same for all RGB image data.
  • the shape of the distribution of the image data shown in FIG. 13 corresponds to the shape of (a2) and (b2) in FIG.
  • the tongue thickness is detected by using the horizontal distribution of image data of one of RGB colors included in the photographed image of the tongue as a data distribution indicating the degree of unevenness of the tongue surface. Regardless of the outer shape). Also, with this method, the above-described light projecting unit 3 is not necessary, and thus it is possible to detect and diagnose the thickness of the tongue with a small and inexpensive configuration.
  • the tongue thickness can be accurately detected by using the data distribution indicating the R component ratio in the photographed image of the tongue obtained under illumination of the illumination unit 2 as the data distribution indicating the degree of unevenness of the tongue surface. I can say that.
  • the tongue thickness can be accurately determined in the same manner as described above using the distribution of data indicating the G component ratio (G / (R + G + B)) and the B component ratio (B / (R + G + B)) in the photographed image of the tongue. Can be detected.
  • the tongue thickness can also be obtained by the following simple calculation.
  • FIG. 14 is an explanatory view schematically showing the relationship between the planar shape and the cross-sectional shape of the tongue.
  • the surface area S (cm 2 ) of the tongue in the standard state of the tongue muscle is obtained by integrating the portion surrounded by the contour line (see FIG. 4) extracted from the photographed image of the tongue. Desired.
  • the surface area S is approximated as follows using an index W S (cm) corresponding to the lateral width of the tongue in the standard state of the tongue muscle and an index W L (cm) corresponding to the vertical width of the tongue. be able to. S ⁇ W S ⁇ W L
  • the tongue thickness Hs in the standard state of the tongue muscle can be easily obtained from the above equation regardless of the state of the tongue muscle at the time of photographing. And it becomes possible to diagnose a health degree based on the calculated
  • the subject to be photographed is a human tongue
  • it may not be a human but may be an animal other than a human.
  • the tongue thickness can be detected by applying the method of the present embodiment, and a diagnosis can be performed based on the detection result. In this case, it is possible to quickly and accurately determine the poor physical condition of an animal that cannot communicate its intention.
  • the organ of the living body to be imaged is not limited to the tongue.
  • the organ of the living body to be imaged is not limited to the tongue.
  • it is a site where swelling occurs due to the quality of water metabolism such as eyelids, it is possible to detect the thickness of the organ and make a diagnosis based on the thickness as in this embodiment.
  • the organ image capturing apparatus described above can be expressed as follows, and has the following effects.
  • the organ image capturing apparatus described above captures an organ of a living body and acquires a horizontal data distribution indicating the degree of unevenness on the surface of the organ, and the data distribution acquisition unit acquires the data distribution in the horizontal direction. And a detector for detecting the thickness of the organ based on the unevenness of the data distribution.
  • the horizontal data distribution indicating the degree of unevenness on the organ surface is acquired by the data distribution acquisition unit. Since this data distribution indicates the degree of unevenness on the organ surface and is acquired regardless of the external shape of each organ, the detection unit determines the thickness (thickness of the organ) based on the unevenness of the data distribution. By detecting the degree of thickness, the thickness of the organ can be accurately detected regardless of the outer shape of each organ, even if the outer shape of the organ varies depending on individual differences and how to apply force.
  • the organ may be a tongue
  • the detection unit may detect a tongue thickness for tongue examination based on the unevenness of the data distribution. In this case, it is possible to determine the health level of the subject based on the tongue thickness.
  • the data distribution may be a distribution of the height of the tongue surface.
  • the height distribution on the surface of the tongue is a distribution representing the degree of unevenness on the surface of the tongue itself. Therefore, by using the height distribution, the thickness of the tongue can be reliably detected with high accuracy.
  • the data distribution acquisition unit is configured to project a linear light in a horizontal direction on the surface of the tongue, and the unevenness of the surface of the tongue of the light projected by the light projecting unit.
  • An imaging unit that captures a curved shape and a height distribution acquisition unit that acquires a height distribution of the surface of the tongue from the curved shape of the light captured by the imaging unit.
  • the data distribution may be a distribution of image data of any of red, green, and blue in a photographed image of the tongue surface, or a distribution of data indicating a component ratio of any of the colors.
  • the illumination condition is constant, the brightness changes between the concave and convex portions on the tongue surface, so the red (R), green (G), and blue (B) image data included in the captured image of the tongue is Both change according to the unevenness of the tongue surface. Therefore, by using the distribution of image data of any color of RGB of the photographed image or the distribution of data indicating the component ratio of any color as the data distribution indicating the degree of unevenness on the tongue surface, The thickness can be detected with high accuracy.
  • the data distribution acquisition unit includes an illumination unit that illuminates the surface of the tongue, an imaging unit that captures the tongue under illumination by the illumination unit, and a captured image of the tongue acquired by the imaging unit.
  • a distribution creation unit that extracts image data of at least one of the colors of blue and creates a distribution of the image data of any of the colors or a distribution of data indicating a component ratio of any of the colors May be. In this case, a horizontal data distribution indicating the degree of unevenness on the tongue surface can be reliably acquired from the RGB image data included in the photographed image of the tongue.
  • the detecting unit may approximate the shape of the distribution with a polynomial and detect the thickness of the tongue based on a coefficient of the polynomial. Since the coefficient of the approximate polynomial indicates the degree of unevenness on the tongue surface, the thickness of the tongue (degree of thickness) can be reliably detected based on this coefficient.
  • the detection unit may perform approximation by the polynomial only for a part of the distribution. In this case, the processing time can be shortened compared to the case where the entire shape of the data distribution is approximated by a polynomial.
  • the part of the distribution may be a data distribution on the end side with respect to the central portion in the horizontal direction of the tongue.
  • the part of the distribution may include a data distribution of the end of the tongue.
  • the degree of curvature (radius, radius) of the approximate curve differs significantly depending on the degree of unevenness on the tongue surface (degree of tongue thickness).
  • the curve of the approximate curve increases, and the curve of the approximate curve decreases when the tongue is thin. Therefore, the detection accuracy of the degree of tongue thickness is further improved.
  • the polynomial may be a quadratic expression, and the coefficient may be a quadratic coefficient of the polynomial.
  • the detection unit can easily determine whether the shape of the tongue surface is a concave shape or a convex shape based on the sign of the quadratic coefficient of the approximate polynomial. The degree of thickness can be easily detected.
  • the data distribution is a horizontal data distribution passing through substantially the center of the direction connecting the tongue tip and the tongue base on the tongue surface. Since the uneven shape in the horizontal direction of the tongue surface is almost the same in any cross section as long as the cross section is perpendicular to the direction connecting the tongue tip and the base of the tongue, from the uneven shape of the above data distribution passing through the approximate center in the vertical direction, The thickness of the tongue can be detected sufficiently.
  • the present invention can be used for an apparatus for photographing a living organ and detecting the thickness of the organ.

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Abstract

L'invention concerne un dispositif de capture d'images d'organes (1) comprenant une unité d'acquisition de distribution de données et une unité de détection (18). L'unité d'acquisition de distribution de données capture une image d'un organe d'un corps vivant et acquiert une distribution de données dans la direction horizontale, ce qui indique le degré d'irrégularité à la surface de l'organe. L'unité de détection (18) détecte l'épaisseur de l'organe sur base de l'irrégularité de la distribution de données telle qu'acquise par l'unité d'acquisition de distribution de données.
PCT/JP2014/075886 2013-11-05 2014-09-29 Dispositif de capture d'images d'organes Ceased WO2015068495A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7465399B1 (ja) 2023-08-02 2024-04-10 株式会社エクサウィザーズ 舌評価方法、舌評価システム及び舌評価プログラム

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004113581A (ja) * 2002-09-27 2004-04-15 Asahi:Kk 健康管理装置
JP2004209245A (ja) * 2002-12-28 2004-07-29 Samsung Electronics Co Ltd 舌映像からの関心領域の抽出方法及び舌映像を利用した健康モニタリング方法及び装置

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004113581A (ja) * 2002-09-27 2004-04-15 Asahi:Kk 健康管理装置
JP2004209245A (ja) * 2002-12-28 2004-07-29 Samsung Electronics Co Ltd 舌映像からの関心領域の抽出方法及び舌映像を利用した健康モニタリング方法及び装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7465399B1 (ja) 2023-08-02 2024-04-10 株式会社エクサウィザーズ 舌評価方法、舌評価システム及び舌評価プログラム

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