[go: up one dir, main page]

WO2018003160A1 - Dispositif d'évaluation automatique à rayons x, procédé d'évaluation automatique à rayons x - Google Patents

Dispositif d'évaluation automatique à rayons x, procédé d'évaluation automatique à rayons x Download PDF

Info

Publication number
WO2018003160A1
WO2018003160A1 PCT/JP2017/004892 JP2017004892W WO2018003160A1 WO 2018003160 A1 WO2018003160 A1 WO 2018003160A1 JP 2017004892 W JP2017004892 W JP 2017004892W WO 2018003160 A1 WO2018003160 A1 WO 2018003160A1
Authority
WO
WIPO (PCT)
Prior art keywords
article
ray
safe
transmission amount
area
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/JP2017/004892
Other languages
English (en)
Japanese (ja)
Inventor
直人 秋良
信尾 額賀
大輔 松原
健一 米司
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hitachi Ltd
Original Assignee
Hitachi Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hitachi Ltd filed Critical Hitachi Ltd
Publication of WO2018003160A1 publication Critical patent/WO2018003160A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
    • G01N23/06—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and measuring the absorption
    • G01N23/083—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and measuring the absorption the radiation being X-rays
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
    • G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
    • G01N23/06—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and measuring the absorption
    • G01N23/10—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and measuring the absorption the material being confined in a container, e.g. in a luggage X-ray scanners

Definitions

  • the present invention relates to a technique for determining an article using X-rays.
  • X-ray baggage inspection it is common to generate a gray scale image showing the amount of X-ray transmission and a color image in which the material is determined and colored for each material, and the presence or absence of dangerous materials is checked manually. It is.
  • an inspector who confirms these grayscale images and color images is placed next to the X-ray baggage inspection device, and if the inspector finds dangerous goods by visually checking the images, the baggage should be opened. The operation of inspecting is common.
  • Patent Document 1 describes a technique for determining an article using an X-ray image of an object.
  • the document describes a method for determining whether a sharp object, drug, banknote, nuclear material, cigarette, or firearm is included.
  • the conventional technology is generally intended to prevent the introduction of dangerous goods such as airport security checkpoints, it focuses on the determination of dangerous goods. Therefore, in view of the fact that even if no dangerous materials are detected by an automatic inspection using an X-ray image, the possibility that unexpected dangerous materials are included cannot be completely excluded. However, it is necessary to determine the presence or absence of dangerous goods by visual confirmation. That is, in the prior art, although the automatic inspection using the X-ray image can assist the inspector, it is difficult to omit the visual inspection by the inspector even for the part where the dangerous object is not detected by the automatic inspection. is there. In other words, it is considered difficult to reduce the number of inspectors in the prior art.
  • the size and content of the baggage may be limited in light of the limitations on the space where luggage can be placed and the number of bags that need to be brought into the event in the first place. Many. Most of these restricted baggage are non-hazardous items such as towels, clothing, cloth and leather bags. If it is possible to automatically determine the packages that can be determined to be safe, it is not necessary for the inspector to see these packages, so that the cost can be reduced by saving labor.
  • a large baggage containing metal such as a smartphone or a wallet
  • a bag that contains almost no metal baggage there is no need for the inspector to see at least half of the baggage.
  • the number of images to be inspected by the inspector can be reduced, so that labor can be saved.
  • the prior art Since the prior art is focused on detecting dangerous materials, it is difficult to omit visual confirmation by an inspector for portions other than those determined to be dangerous materials. In other words, since the prior art does not focus on detecting a part that can be determined to be reliably safe, it is difficult to save labor by reducing the number of inspection objects by using the prior art. .
  • the present invention has been made in view of the above-described problems, and improves inspection efficiency by automatically determining an article that can be reliably determined to be safe when determining an article using X-rays. For the purpose.
  • the X-ray automatic determination apparatus determines whether the area of the X-ray image pixel area where the X-ray transmission amount is below the transmission amount threshold and the material is continuous exceeds the area threshold. Based on this, it is determined whether the article is safe.
  • inspection efficiency can be improved by automatically determining an article that can be determined to be safe.
  • FIG. 2 is a configuration diagram of an automatic determination server 102.
  • FIG. It is a figure which shows the structure and data example of safety condition DB213. It is a figure which shows the structure and data example of overlap determination condition DB215.
  • 3 is a configuration diagram of a device control server 103.
  • FIG. It is a block diagram of the inspector terminal 104.
  • FIG. It is an example of a screen displayed on the display unit 604 by the inspection screen program 612.
  • 2 is a configuration diagram of a data management server 301.
  • FIG. 3 is a configuration diagram of an administrator terminal 302.
  • FIG. It is an example of a screen displayed by the management screen program 912. It is an example of a test object.
  • the result of having determined the material of the inspection object shown in FIG. This is an example in which pixel regions made of metals or organic materials are continuous.
  • 5 is a flowchart for explaining the operation of an automatic determination program 212.
  • FIG. 1 is a configuration diagram of an X-ray automatic determination system according to the present invention.
  • the X-ray automatic determination system includes an X-ray inspection apparatus 101, an automatic determination server 102 (X-ray automatic determination apparatus), an apparatus control server 103, an inspector terminal 104, a data management server 301, and an administrator terminal 302. .
  • the X-ray inspection apparatus 101 is an apparatus that is generally widely used as a baggage inspection apparatus for airport security inspections.
  • the automatic determination server 102 determines whether or not the baggage is safe based on the X-ray image captured by the X-ray inspection apparatus 101.
  • the apparatus control server 103 remotely controls the X-ray inspection apparatus 101.
  • the inspector terminal 104 is a screen display terminal used by an inspector when manually checking an X-ray image.
  • the data management server 301 manages data such as an X-ray image taken by the X-ray inspection apparatus 101 and an automatic determination result.
  • the administrator terminal 302 is an operation terminal for setting parameter values for automatic determination.
  • the required number of X-ray inspection apparatuses 101 is installed at a base that is a target for baggage inspection.
  • base A and base B are baggage inspection targets.
  • the inspector visually confirms using the inspector terminal 104 installed at the base C, and finally determines whether the baggage is safe or not. judge.
  • the automatic determination server 102 and the inspector terminal 104 may be installed at the base A or the base B as necessary.
  • Each device is connected via the network 2 such as the Internet or an intranet, and can communicate with each other. Any communication method may be used as long as data can be transferred. If the X-ray inspection apparatus 101 does not have a network interface, it may be connected to the network via a computer or the like.
  • the X-ray inspection apparatus 101 has an X-ray apparatus main body that irradiates X-rays and measures the amount of transmitted X-rays, and a computer that is used to input and output data. Furthermore, when it is determined that the baggage is dangerous, it has a mechanism (for example, a lamp) that feeds back that fact to the inspector. As the feedback mechanism, an arbitrary mechanism such as a mechanism for stopping a belt conveyor that conveys a load in the X-ray inspection apparatus 101 can be used. A sensor that measures the amount of X-ray transmission acquires two types of data, low energy and high energy, and the automatic determination server 102 determines the material to be inspected based on the difference between high and low energy. As the X-ray sensor, any type of X-ray sensor may be used as long as X-ray data from which the material can be determined can be acquired. For example, a backscattering type material determination sensor can be considered.
  • FIG. 2 is a configuration diagram of the automatic determination server 102.
  • the automatic determination server 102 includes a CPU (Central Processing Unit) 201, a main memory 202, an input unit 203, a display unit 204, a communication unit 205, and a storage unit 210.
  • the storage unit 210 stores an OS (Operating System) 211 of the automatic determination server 102, an automatic determination program 212, a safety condition database (DB) 213, a shape feature amount DB 214, an overlap determination condition DB 215, and a database 216.
  • DB safety condition database
  • the automatic determination program 212 determines (a) the material to be inspected from the X-ray data photographed by the X-ray inspection apparatus 101, and (b) the safety condition in which the material and area of the load are defined by the safety condition DB 213. (C) if there is an area that cannot be reliably determined to be safe, shape recognition is performed on the area, and (d) as a result of shape recognition, If it is recognized, it is determined whether there is any overlap with other packages in the area according to the overlap condition defined by the overlap determination condition DB 215, and (e) the determination result is comprehensively determined and finally determined. The result of a typical decision. Detailed operation of the automatic determination program 212 will be described later.
  • the shape feature value DB 214 stores shape feature values of articles that are considered to be safe.
  • shape feature amount an edge pattern feature amount, a SIFT feature amount, a SURF feature amount, or the like well known in the field of image recognition can be used. Any other feature amount may be used as long as the feature amount can represent the feature of the shape.
  • the database 216 stores the X-ray data subjected to the automatic determination process, the determination result, information as a determination basis, and the like.
  • the safety condition DB 213 and the overlap determination condition DB 215 will be described with reference to FIGS. 3 and 4, respectively.
  • FIG. 3 is a diagram showing a configuration and data example of the safety condition DB 213.
  • the safety condition DB 213 defines determination conditions for determining whether or not the inspection object is safe from the viewpoint of the material to be inspected. If the area of the portion formed of metals or organic substances in the pixel region of the X-ray image is large to some extent, it is difficult to say that the article is definitely safe.
  • the safety condition DB 213 defines determination conditions for detecting such articles. Details of each item defined by the safety condition DB 213 will be described later.
  • FIG. 4 is a diagram illustrating a configuration of the overlap determination condition DB 215 and data examples.
  • the overlap determination condition DB 215 defines determination conditions for determining whether or not a plurality of articles overlap in the inspection target area. When a plurality of articles are overlapped along the X-ray irradiation direction, there is a possibility that an unsafe article is hidden. When a plurality of articles are arranged side by side (overlapping in a direction perpendicular to the X-ray irradiation direction), the plurality of articles may be erroneously determined as one article.
  • the overlap determination condition DB 215 defines determination conditions for detecting such articles. Details of each item defined by the overlap determination condition DB 215 will be described later.
  • FIG. 5 is a configuration diagram of the device control server 103.
  • the device control server 103 includes a CPU 501, a main memory 502, an input unit 503, a display unit 504, a communication unit 505, and a storage unit 510.
  • the storage unit 510 stores the OS 511 of the apparatus control server 103, the apparatus control program 512, and the X-ray inspection apparatus DB 513.
  • the apparatus control program 512 has a function of remotely controlling the X-ray inspection apparatus 101 such as acquiring an X-ray image from the X-ray inspection apparatus 101 and feeding back the baggage inspection result to the X-ray inspection apparatus 101.
  • the X-ray inspection apparatus DB 513 stores information such as an IP address, apparatus information, and operation status necessary for connecting to the X-ray inspection apparatus 101 via the network 2.
  • FIG. 6 is a configuration diagram of the inspector terminal 104.
  • the inspector terminal 104 includes a CPU 601, a main memory 602, an input unit 603, a display unit 604, a communication unit 605, and a storage unit 610.
  • the storage unit 610 stores the OS 611 and the inspection screen program 612 of the inspector terminal 104.
  • FIG. 7 is an example of a screen displayed on the display unit 604 by the inspection screen program 612.
  • the inspection screen program 612 receives from the data management server 301 a grayscale image indicating the amount of X-ray transmission, a color image obtained by adding material information to the grayscale image, and information serving as a determination basis.
  • the inspection screen program 612 displays the received data on a screen as illustrated in FIG. The inspector visually inspects the screen and inputs the inspection result using the input unit 603.
  • FIG. 8 is a configuration diagram of the data management server 301.
  • the data management server 301 includes a CPU 801, a main memory 802, an input unit 803, a display unit 804, a communication unit 805, and a storage unit 810.
  • the storage unit 810 stores the OS 811, the data management program 812, and the database 813 of the data management server 301.
  • the data management program 812 acquires (a) X-ray data from the X-ray inspection apparatus 101 via the apparatus control server 103, (b) transmits X-ray data to the automatic determination server 102, and (c) automatically The determination result is acquired from the automatic determination server 102, and (d) when it is determined by the automatic determination that the inspector needs to visually inspect, the data used for the inspection is transmitted to the inspector terminal 104, (E) The final inspection result is fed back to the X-ray inspection apparatus 101 via the apparatus control server 103.
  • the database 813 stores X-ray data and inspection results as a history in case that reconfirmation is required at a later date.
  • FIG. 9 is a configuration diagram of the administrator terminal 302.
  • the administrator terminal 302 includes a CPU 901, a main memory 902, an input unit 903, a display unit 904, a communication unit 905, and a storage unit 910.
  • the storage unit 910 stores the OS 911 and the management screen program 912 of the administrator terminal 302.
  • FIG. 10 is an example of a screen displayed by the management screen program 912.
  • the management screen program 912 displays various conditions necessary for automatic determination of X-ray data on the display unit 904 as shown in the screen illustrated in FIG.
  • the administrator inputs a setting value using the input unit 903.
  • FIG. 11 shows an example of an inspection target.
  • a blade is included in the luggage. The following description will be made on the assumption that the automatic determination program 212 determines the safety of the package shown in FIG.
  • FIG. 12 shows the result of determining the material to be inspected shown in FIG.
  • the automatic determination program 212 determines the material to be inspected for each pixel of the X-ray image by the method described above.
  • each pixel is represented by four types of figures (diamonds / circles / triangles / quadrangles), and each figure indicates the material of the pixel (determination impossible / organic matter / light inorganic matter / light metal / metal).
  • the X-ray image has a huge number of pixels, it is not efficient to determine the material for each pixel. Also, from the viewpoint of detection noise, it is not always appropriate to determine whether or not each pixel is a safe material. In view of this, for each pixel area grouped to some extent, it is determined whether or not the material of the area is safe. Specifically, when the ratio of pixels determined to be metal among pixels included in a pixel window having a certain size exceeds the “material determination threshold (metal)” in the safety condition DB 213, the window The inside pixel region is determined to be a metal region. The “material determination threshold value (organic matter)” in the safety condition DB 213 is determined in the same manner. Light intermediates and light metals may be determined as intermediate materials between them.
  • the amount of X-ray transmission for each pixel is represented as the color intensity of each pixel.
  • a dark pixel has a small amount of X-ray transmission. Using this X-ray transmission amount, it is possible to specify a pixel region where an article exists in an X-ray image. The procedure will be described below.
  • FIG. 13 shows an example in which pixel regions made of metals or organic materials are continuous.
  • an X-ray image includes an article composed of metals or organic substances
  • the article is considered not to transmit X-rays so much.
  • the article portion appears on the X-ray image as a pixel region having a small X-ray transmission amount. Therefore, after performing the material determination for each window described with reference to FIG. 12, a pixel region that is considered to be one article is specified based on whether or not pixel regions having a small X-ray transmission amount are continuous.
  • the threshold value that the X-ray transmission amount is considered to be small is defined as the “continuous region threshold value” in the safety condition DB 213.
  • continuous means that pixels with a small amount of X-ray transmission are adjacent to each other without interruption.
  • a small button such as a bag button or a fastener can be excluded from the determination target by “material determination threshold (metals)” and “material determination threshold (organic matter)”.
  • FIG. 14 is a flowchart for explaining the operation of the automatic determination program 212. Hereinafter, each step of FIG. 14 will be described.
  • the X-ray inspection apparatus 101 captures an X-ray image of baggage.
  • the apparatus control server 103 (apparatus control program 512) acquires an X-ray image, and transmits the X-ray image to the automatic determination server 102 via the data management server 301 (data management program 812).
  • the X-ray inspection apparatus 101 transmits accompanying data such as an X-ray transmission amount in addition to the X-ray image.
  • X-ray data are collectively referred to as X-ray data.
  • the automatic determination program 212 determines the material to be inspected using the acquired X-ray data.
  • the material to be inspected can be determined based on the difference between two types of transmitted X-ray energy, for example, low energy and high energy. In this field, since the method for determining the material from the difference between high and low energy is well known, description thereof is omitted.
  • the automatic determination program 212 determines a material such as an organic material, a light metal / light inorganic material, or a metal for each pixel of the X-ray image. By this step, the material (determination impossible / organic substance / light inorganic substance / light metal / metal) represented by each pixel in FIG. 12 can be obtained.
  • Step S1403 Based on the material of each pixel and the X-ray transmission amount of each pixel, the automatic determination program 212 specifies the pixel region of each material in the X-ray image according to the procedure described with reference to FIGS. In the subsequent steps, the specified pixel region is set as a safety determination target.
  • Step S1404 Part 1
  • the automatic determination program 212 has an area threshold “area threshold (metal)” “area threshold (organic)” “area threshold” corresponding to each material in the safety condition DB 213. (Metals / Organic) ”is judged. This is because when the area of these materials is large, the article is not necessarily safe. If the area of the pixel region of each material does not exceed the area threshold value, it is determined that the inspection target is safe, and the process skips to step S1411. If the area of the pixel region of any material exceeds the corresponding area threshold, it is determined that the subject to be inspected may not be safe, and the process proceeds to step S1405. Not only the area but also the density of each material may be comprehensively determined.
  • Step S1404 Part 2
  • the process skips to step S1410.
  • Step S1405 The automatic determination program 212 uses the shape feature amount stored in the shape feature amount DB 214 for the pixel region that has not been determined to be safe in step S1404, and identifies an article included in the pixel region by shape recognition. To do. If an article cannot be specified in this step, it is necessary to perform a visual inspection, and thus the process skips to step S1410. The same applies when it is clearly identified as a dangerous article in this step. If it is specified as an article other than that, the process proceeds to step S1406.
  • Step S1406 The automatic determination program 212 determines whether or not a plurality of articles overlap on the pixel area of the article specified in step S1405. This is because there is a possibility that a dangerous article is actually included even if it is determined that the article is not a dangerous article in step S1405 when the plurality of articles overlap.
  • Step S1406 Supplement 1
  • the normal X-ray transmission amount in the article specified in step S1405 is defined in advance as the “transmission amount average value” of the overlap determination condition DB 215, and whether or not the actual X-ray transmission amount is lower than this, It was decided whether or not a plurality of articles overlapped. Since the X-ray transmission amount varies depending on the X-ray irradiation position, the average value of the whole is defined as the normal X-ray transmission amount.
  • Step S1406 Supplement 2
  • the overlap determination condition DB 215 the smallest X-ray transmission amount at each irradiation position of the article is defined in advance as the “transmission amount lower limit value” of the overlap determination condition DB 215, and actual X-rays are obtained.
  • Whether or not a plurality of articles are overlapped is determined based on whether or not the minimum value of the permeation amount is below this value. For example, when the actual X-ray transmission amount is lower than either “transmission amount average value” or “transmission amount lower limit value”, it can be determined that a plurality of articles overlap.
  • step S1405 When a plurality of articles are arranged side by side (overlapping in a direction perpendicular to the X-ray irradiation direction), in step S1405, the shape of the plurality of arranged articles is mistakenly integrated into one article. May be recognized. In this case, it is considered that the actual size of the pixel region is larger than the size that the recognized article normally has. Therefore, the normal size of the article identified in step S1405 is defined in advance as “maximum area value” and “longest side maximum value” in the overlap determination condition DB 215, and whether the article size recognized in step S1405 exceeds these. Whether or not a plurality of articles are lined up is determined based on whether or not.
  • the overlap determination condition DB 215 can also define “metal ratio” and “organic ratio” that are normally assumed as the material of the article specified in step S1405. If the material of the article specified in step S1405 deviates from these, it is considered that a plurality of articles are arranged side by side.
  • Steps S1405 to S1406 Supplement
  • Step S1407 The automatic determination program 212 determines (a) that the safety condition defined by the safety condition DB 213 is satisfied in step S1404, or (b) determines that the safety article is a safety article in step S1405, and further overlaps a plurality of articles in step S1406. If it is determined that it is not, the final determination result indicating that the inspection target is safe is output. Otherwise, a final determination result indicating that the inspection target cannot be determined to be safe is output.
  • Step S1408 The automatic determination program 212 transmits the final determination result to the data management server 301. If there is a pixel area that is not determined to be safe in the above steps, information specifying the pixel area may be transmitted together.
  • the inspector terminal 104 acquires the final determination result by the automatic determination program 212 via the data management server 301.
  • the user (inspector) of the inspector terminal 104 skips the visual inspection for the baggage determined to be safe (S1409), and visually inspects the baggage that is not determined to be safe (S1410).
  • the inspector terminal 104 assists the visual confirmation by the inspector by highlighting the X-ray image and the pixel area that cannot be determined to be safe, as in the screen example of FIG. Only pixel areas that are not determined to be safe may be cut out and enlarged, or pixel areas that are not determined to be safe from a plurality of packages may be cut out and presented together.
  • Step S1411 When the automatic determination program 212 receives an end instruction from any of the terminals, the flowchart is ended. Otherwise, the process returns to step S1401 and the same processing is repeated.
  • the automatic determination server 102 determines whether or not the area of the pixel region where the X-ray transmission amount is below the “continuous region threshold” and the material is continuous exceeds the “area threshold”. Determine if is safe. This eliminates the need for visual inspection of pixel areas that can be considered to be safe, thereby saving labor for the inspector. Further, since the pixel area viewed by the inspector can be narrowed down, the quality of the visual inspection is improved.
  • the automatic determination server 102 performs article specification by the shape feature amount DB 214 and overlap determination by the overlap determination condition DB 215 even for a pixel region that is determined not to be safe based on the “area threshold”.
  • articles that are generally considered safe can be excluded from visual inspection. Thereby, labor saving of an inspector can be achieved.
  • the automatic determination server 102 specifies a pixel region that is assumed to be an article according to the procedure described with reference to FIGS. Thereby, a pixel region where no article exists can be excluded. For example, an area where the amount of X-ray transmission is large and the possibility of a dangerous material is low can be excluded from the inspection object, such as cloth for clothes or clothes.
  • the present invention is not limited to the above embodiment, and includes various modifications.
  • the above-described embodiment has been described in detail for easy understanding of the present invention, and is not necessarily limited to one having all the configurations described.
  • a part of the configuration of an embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of an embodiment.
  • FIGS. 12 to 13 the resolution of pixels is roughly displayed for the sake of explanation, but an actual X-ray image is generally composed of several hundred to several thousand pixels both vertically and horizontally.
  • the window size described in FIG. 12 may be variable.
  • search window width may be stored as an item of the safety condition DB 213.
  • the shape feature amount DB 214 is used to recognize the shape of an article.
  • other techniques may be used as long as an article registered in advance can be recognized.
  • the above components, functions, processing units, processing means, etc. may be realized by hardware by designing a part of them, for example, by an integrated circuit.
  • Each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor.
  • Information such as programs, tables, and files for realizing each function can be stored in a recording device such as a memory, a hard disk, an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.
  • X-ray inspection apparatus 101 X-ray inspection apparatus 102: Automatic determination server 103: Apparatus control server 104: Inspector terminal 301: Data management server 302: Administrator terminal

Landscapes

  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Toxicology (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)

Abstract

L'objectif de la présente invention est d'améliorer l'efficacité d'examen lors de l'évaluation d'un objet au moyen de rayons X par évaluation automatique d'un objet qui peut être déterminé de façon fiable comme étant sûr. Ce dispositif d'évaluation automatique à rayons X évalue si un objet est sûr, sur la base du fait que l'aire d'une partie d'une région de pixels d'une image radiographique dans laquelle la quantité de transmission de rayons X est inférieure à un seuil de quantité de transmission et où le matériau est continu, dépasse un seuil d'aire.
PCT/JP2017/004892 2016-06-30 2017-02-10 Dispositif d'évaluation automatique à rayons x, procédé d'évaluation automatique à rayons x Ceased WO2018003160A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2016-129554 2016-06-30
JP2016129554A JP6764709B2 (ja) 2016-06-30 2016-06-30 Ｘ線自動判定装置、ｘ線自動判定方法

Publications (1)

Publication Number Publication Date
WO2018003160A1 true WO2018003160A1 (fr) 2018-01-04

Family

ID=60786339

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2017/004892 Ceased WO2018003160A1 (fr) 2016-06-30 2017-02-10 Dispositif d'évaluation automatique à rayons x, procédé d'évaluation automatique à rayons x

Country Status (2)

Country Link
JP (1) JP6764709B2 (fr)
WO (1) WO2018003160A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2023033783A (ja) * 2021-08-30 2023-03-13 株式会社イシダ 物品処理システム

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3748344A4 (fr) * 2018-01-31 2021-10-27 Cyberdyne Inc. Dispositif d'identification d'objet et procédé d'identification d'objet
JP6941077B2 (ja) * 2018-06-08 2021-09-29 アンリツ株式会社 物品検査システム及びそのプログラム
JP6632674B1 (ja) 2018-09-06 2020-01-22 株式会社東芝 検査装置及び検査プログラム
JP7177721B2 (ja) * 2019-02-15 2022-11-24 日本信号株式会社 検査システム
JP7360841B2 (ja) * 2019-08-09 2023-10-13 株式会社日立ソリューションズ Ｘ線画像処理システムおよびその方法、そのプログラム
JP7306925B2 (ja) * 2019-09-06 2023-07-11 日本信号株式会社 特定対象物検出方法及び特定対象物検出装置
JP2021096185A (ja) * 2019-12-18 2021-06-24 日本信号株式会社 検査システム
JP7249300B2 (ja) * 2020-02-21 2023-03-30 株式会社日立製作所 アラート出力装置、アラート出力方法、及びアラート出力プログラム
JP7716963B2 (ja) * 2021-11-15 2025-08-01 株式会社日立製作所 Ｘ線画像処理装置及びｘ線画像処理方法

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002535625A (ja) * 1999-01-12 2002-10-22 アナロジック コーポレーション コンピュータ断層撮影データを使って隠蔽物体を検出する装置及び方法
JP2003279503A (ja) * 2002-03-22 2003-10-02 Shimadzu Corp Ｘ線検査装置
JP2006084275A (ja) * 2004-09-15 2006-03-30 Hitachi Ltd 爆発物等の探知方法および装置
JP2009122043A (ja) * 2007-11-16 2009-06-04 Ihi Corp 材質識別検査装置および方法

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1805505A4 (fr) * 2004-10-05 2011-08-17 Commw Scient Ind Res Org Equipement radiographique
JP2008268076A (ja) * 2007-04-23 2008-11-06 Toshiba Corp 非破壊識別方法及び非破壊識別装置
JP5236971B2 (ja) * 2008-03-17 2013-07-17 三菱重工業株式会社 検査装置
EP3282393A1 (fr) * 2009-05-26 2018-02-14 Rapiscan Systems, Inc. Systèmes d'inspection tomographique à rayons x pour le identification d'articles cibles spécifiques
US8750454B2 (en) * 2010-02-25 2014-06-10 Rapiscan Systems, Inc. High-energy X-ray-spectroscopy-based inspection system and methods to determine the atomic number of materials
JP2013522624A (ja) * 2010-03-14 2013-06-13 ラピスカン システムズ、インコーポレイテッド 人員検査システム
US9791590B2 (en) * 2013-01-31 2017-10-17 Rapiscan Systems, Inc. Portable security inspection system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002535625A (ja) * 1999-01-12 2002-10-22 アナロジック コーポレーション コンピュータ断層撮影データを使って隠蔽物体を検出する装置及び方法
JP2003279503A (ja) * 2002-03-22 2003-10-02 Shimadzu Corp Ｘ線検査装置
JP2006084275A (ja) * 2004-09-15 2006-03-30 Hitachi Ltd 爆発物等の探知方法および装置
JP2009122043A (ja) * 2007-11-16 2009-06-04 Ihi Corp 材質識別検査装置および方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2023033783A (ja) * 2021-08-30 2023-03-13 株式会社イシダ 物品処理システム

Also Published As

Publication number Publication date
JP2018004363A (ja) 2018-01-11
JP6764709B2 (ja) 2020-10-07

Similar Documents

Publication Publication Date Title
WO2018003160A1 (fr) Dispositif d'évaluation automatique à rayons x, procédé d'évaluation automatique à rayons x
US10163200B2 (en) Detection of items in an object
CN106485268B (zh) 一种图像识别方法及装置
EP3834129B1 (fr) Systèmes et procédés de traitement d'images
US12361094B2 (en) Training data generation device and training data generation program
USH2110H1 (en) Automated security scanning process
US12181422B2 (en) Probabilistic image analysis
EA022136B1 (ru) Системы и способы для автоматизированного быстрого обнаружения веществ с большим атомным номером
JP6917083B1 (ja) 教師データ生成装置、検査装置及びプログラム
CN109978892B (zh) 一种基于太赫兹成像的智能安检方法
US20180164231A1 (en) Dual-energy microfocus radiographic imaging method for meat inspection
US20210239875A1 (en) Alert output timing control apparatus, alert output timing control method, and non-transitory computer readable storage medium
JP2010540930A (ja) 検知システムにおける誤警報を減少させるためのシステム及び方法
US20170061638A1 (en) Method for Examining a Value Document, and Means for Carrying out the Method
US11215731B2 (en) Automatic detection of manipulated metal objects in X-ray images
KR102325017B1 (ko) 딥러닝 기반의 화물 식별 모델을 이용한 화물 식별 장치 및 방법
JP7306925B2 (ja) 特定対象物検出方法及び特定対象物検出装置
Blejcharova et al. Framework for selecting screening technologies for checked baggage inspection systems at airports
Concho et al. A mathematical framework for passenger screening optimization via a multi-objective evolutionary approach
US8254676B2 (en) Methods and systems for identifying a thin object
US10782439B2 (en) Correction of X-ray images
EP4372677A1 (fr) Système et procédé de détection d'une structure indésirable dans une ou plusieurs radiographies d'un produit alimentaire
JP6547316B2 (ja) 検品装置
CN120236047A (zh) 安检图像的判别方法、装置、系统、设备及介质
BG4102U1 (bg) Контролна система

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17819530

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17819530

Country of ref document: EP

Kind code of ref document: A1