WO2016013112A1 - Dispositif de détermination de quantité de variation de couleur, procédé de détermination de quantité de variation de couleur, et programme - Google Patents

Dispositif de détermination de quantité de variation de couleur, procédé de détermination de quantité de variation de couleur, et programme Download PDF

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WO2016013112A1
WO2016013112A1 PCT/JP2014/069699 JP2014069699W WO2016013112A1 WO 2016013112 A1 WO2016013112 A1 WO 2016013112A1 JP 2014069699 W JP2014069699 W JP 2014069699W WO 2016013112 A1 WO2016013112 A1 WO 2016013112A1
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Prior art keywords
sample
cluster
color
color change
reference sample
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PCT/JP2014/069699
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English (en)
Japanese (ja)
Inventor
幹也 倉本
佐藤　哲也
紗織 北口
雅人 吉久
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一般財団法人カケンテストセンター
国立大学法人京都工芸繊維大学
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Priority to PCT/JP2014/069699 priority Critical patent/WO2016013112A1/fr
Publication of WO2016013112A1 publication Critical patent/WO2016013112A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N17/00—Investigating resistance of materials to the weather, to corrosion, or to light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination

Definitions

  • the present invention relates to an apparatus, a method, and a program for determining a color change degree of a colored article.
  • Textile products are discolored or discolored due to physical effects received during the manufacturing process or in use, such as washing or sunlight irradiation.
  • Dye fastness is an indicator of the resistance of color to various physical effects that a textile product undergoes during the manufacturing process, consumer use, and storage. Therefore, it is an important index in the quality control of textile products.
  • a well-known technique as a test method for this dye fastness is a method in which a sample is subjected to a treatment that gives a certain physical action, and the degree of color change before and after the treatment is evaluated.
  • Non-Patent Document 1 describes a test apparatus and a test method for a dyeing fastness test of a textile product. For example, a test piece is processed by a specified method corresponding to washing, and the color difference between the test pieces before and after the treatment is determined using a nine-color chart called a specified gray scale under the specified lighting conditions and observation method. Thus, a method for visually evaluating and evaluating (visual method) is disclosed. When determining the dyeing fastness of a sample having a color pattern or pattern, it is general to use this visual method and determine the color contained in each of the test pieces before and after the treatment.
  • Non-Patent Document 2 and Non-Patent Document 3 describe a test method using a colorimeter for a dyeing fastness test of a textile product. Specifically, the color of the test piece that has been subjected to the prescribed processing in the same way as the visual method and the color of the test piece before the treatment are measured using a colorimeter under the prescribed conditions.
  • a method instrument method is disclosed in which a color difference before and after processing is calculated by a specified calculation formula and converted to a gray scale grade in a visual method by a specified method.
  • Patent Document 1 discloses a color difference determination apparatus that performs color difference acceptance / rejection determination only by setting a simple color difference allowance even when a standard color system such as a CIE (International Lighting Commission) color difference formula is used.
  • Patent Document 2 discloses a sheet-like color difference inspection apparatus using a color sensor that can instantaneously determine whether a color difference is caused by lightness unevenness or hue unevenness.
  • JP 05-306955 A Japanese Patent Application Laid-Open No. 09-033348
  • Non-Patent Document 1 the test pieces before and after the treatment are arranged, a standard gray scale is placed beside the test pieces, and the test pieces and the gray scale are visually compared. Then, by selecting a gray scale close to the color difference of the test piece, the fastness to dyeing of the test piece is determined.
  • a very high level of skill and ability are required to make an accurate determination visually. Therefore, since the judgment performed visually is different in the skill level and ability of the judge, there is a possibility that the result may vary depending on the judgment person and even when the judgment person is the same, and there is a problem in judgment accuracy.
  • color data of a test piece before and after processing is acquired using a colorimeter.
  • the measurement range of the colorimeter is a few cm 2 of the test piece, and the color data is acquired as an average of the range.
  • comparison is not possible unless the measurement range is monochromatic.
  • Patent Document 1 a single-color object to be measured is assumed, and it is not considered to determine a color difference for each color of a test piece having a color pattern.
  • the present invention has been made in view of the above-described circumstances, and an object thereof is to improve the accuracy of determining the degree of color change for each color even in a sample having a color pattern.
  • a color change degree determination device provides: A color data acquisition unit that acquires color data for each pixel from each image of a reference sample that is a reference for determining the degree of color change and a sample sample that is made of the same material as the reference sample and is subjected to color change processing; A cluster classification unit for classifying the color data of the image of the reference sample and the sample sample into clusters in a color space; A cluster corresponding unit that associates the cluster of the specimen sample and the cluster of the reference sample closest to the cluster in the color space, or the cluster of each specimen sample and the cluster corresponding to the white color of the reference sample; From the difference in position in the color space between the cluster of the sample sample and the cluster of the reference sample associated with each other in the cluster correspondence unit, a determination unit that determines the color change degree of the cluster; It is characterized by providing.
  • a color change degree determination method includes: A color change determination method performed by a color change degree determination device that determines a color change degree from a reference sample and a sample sample that is made of the same material as the reference sample and is subjected to a color change process, A color data acquisition step for acquiring color data for each pixel from the respective images of a reference sample serving as a reference for determining the degree of color change and a sample sample made of the same material as the reference sample and subjected to color change processing; A cluster classification step of classifying the color data of the image of the reference sample and the specimen sample into clusters in a color space; A cluster correspondence step for associating the cluster of the sample sample and the cluster of the reference sample closest to the cluster in the color space, or the cluster of each sample sample and the cluster corresponding to the white color of the reference sample; A determination step of determining a color change degree of the cluster from the difference in position in the color space between the cluster of the specimen sample and the cluster
  • a program is stored in a computer. Acquire color data for each pixel of each image of a colored reference sample as a reference for determining the degree of color change and a sample sample made of the same material as the reference sample and processed for color change from the color detection device Color data acquisition step, A cluster classification step of classifying the color data of the image of the reference sample and the specimen sample into clusters in a color space; A cluster correspondence step for associating the cluster of the sample sample and the cluster of the reference sample closest to the cluster in the color space, or the cluster of each sample sample and the cluster corresponding to the white color of the reference sample; A determination step of determining a color change degree of the cluster from the difference in position in the color space between the cluster of the specimen sample and the cluster of the reference sample associated in the cluster correspondence step; Is executed.
  • the accuracy of determining the degree of color change for each color can be improved even for a sample having a color pattern.
  • FIG. 1 It is a block diagram which shows the structural example of the color change degree determination apparatus which concerns on Embodiment 1 of this invention. It is a figure which shows the example which extract
  • FIG. 4 is a flowchart illustrating an example of an operation for determining a color change degree according to the first embodiment. It is a figure which shows the example of the sample sample which concerns on Embodiment 2 of this invention. It is a figure which shows the example from which the sample sample which concerns on Embodiment 2 differs. It is a conceptual diagram which shows the example of the cluster in the color space of the color data in the case of contamination degree determination. It is a figure which shows the difference in the position in the color space of the cluster in the case of contamination degree determination.
  • FIG. 10 is a flowchart illustrating an example of an operation for determining a color change degree according to the third embodiment. It is a perspective view of the dome type illuminating device which concerns on Embodiment 3 of this invention.
  • FIG. 10 is a block diagram illustrating a configuration example of a color change degree determination device according to a third embodiment. It is a block diagram which shows the structural example of the color change degree determination apparatus which concerns on Embodiment 4 of this invention.
  • 10 is a flowchart illustrating an example of an operation of determining a color change degree according to the fourth embodiment. It is a block diagram which shows the structural example of the color change degree determination apparatus which concerns on Embodiment 5 of this invention.
  • 10 is a flowchart illustrating an example of an operation of determining a color change degree according to the fifth embodiment. It is a block diagram which shows the physical structural example of the color change degree determination process part which concerns on embodiment of this invention.
  • FIG. 1 is a block diagram illustrating a configuration example of a color change degree determination apparatus according to Embodiment 1 of the present invention.
  • the color change degree determination device 10 includes a color change degree determination processing unit 1, an illumination device 2, an imaging device 3, and a sample stage 4.
  • a sample 5 for determining the degree of color change is placed on the sample stage 4.
  • the sample 5 is a reference sample serving as a reference for determining the degree of color change, or a sample sample made of the same material as the reference sample and subjected to color change processing.
  • the color change process is, for example, to perform a process on a colored sample by washing, adhesion of substances such as sweat, friction, or sunlight irradiation.
  • the colored sample and the white sample are washed together, the colored sample and the white sample are rubbed, or the colored sample and the white sample are overlaid and left. This is also included in the color change process.
  • the imaging device 3 is, for example, a digital camera or a two-dimensional color luminance meter.
  • the imaging device 3 captures an image of the sample 5 in a state where the sample 5 is illuminated by the illumination device 2.
  • the imaging device 3 photographs the reference sample and the standard sample in order.
  • the image of the sample 5 is sent to the color change degree determination processing unit 1.
  • the illumination device 2 irradiates light uniformly in an area where the sample 5 is placed.
  • the sample 5 has a color pattern
  • the arrangement of the corresponding colors is different between the reference sample and the specimen sample. If the illuminance changes depending on the location or there is uneven illumination color depending on the location, it corresponds. It becomes difficult to compare colors accurately.
  • FIG. 1 shows that the illumination device 2 emits light from two directions facing each other on one side of the sample 5.
  • the color change degree determination processing unit 1 acquires color data for each pixel from the sample image, and classifies the color data of the reference sample and sample sample images into clusters in the color space. Then, the difference in position in the color space between the sample sample cluster and the reference sample cluster closest to the cluster in the color space, or the position in the color space between each sample sample cluster and the cluster corresponding to the white color of the reference sample From the difference, the color change degree of the cluster is determined.
  • the color change degree determination apparatus 10 determines the color change degree as the color change degree.
  • a visual method for determining the color fading (dye fastness) for each color of a textile product having a color pattern will be described.
  • FIG. 2 is a diagram illustrating an example in which two samples are collected from a single fiber product.
  • Two samples 61 and 62 of a predetermined size are collected from one fiber product 6 dyed in a color pattern.
  • the two collected samples 61 and 62 are made of the same material and colored (stained) by the same method. If the period of the color pattern does not match the size of the sample, the two patterns 61 and 62 do not have the same pattern. In order to complete the test once, it is desirable to take samples so that each of the two samples 61, 62 contains all the colors.
  • FIG. 3 is a diagram illustrating an example of a specimen sample that has been processed.
  • the processed sample 63 is referred to as a specimen sample 63.
  • the sample 61 as it is collected from the fiber product is referred to as a reference sample 61.
  • FIG. 4 is a diagram showing the concept of comparing the reference sample and the specimen sample.
  • the judge of the fastness to staining recognizes the location of the color included in each of the reference sample 61 and the specimen sample 63. Then, the reference sample 61 and the sample sample 63 are compared to identify which color of the sample sample 63 is the reference sample 61.
  • the three colors 61a, 61b, 61c of the reference sample 61 and the three colors 63a, 63b, 63c of the specimen sample 63 are compared with each other.
  • the color contrast is a mental activity of the judge, and does not actually cut the sample for each color.
  • FIG. 5 is a diagram showing a concept of an operation for comparing a color difference with a reference gray scale.
  • the numbers under the gray scale 65 for fading color indicate the grades of the respective color differences.
  • the judge determines the gray scale class having the closest color difference compared to the gray scale 65 for color fading (dyeing of the color (staining). Judgment is determined.
  • the color change degree determination processing apparatus 10 performs a color change degree determination by a machine.
  • the color data acquisition unit 11 in FIG. 1 acquires color data for each pixel from each image of a reference sample and a sample sample that is made of the same material as that of the reference sample and is colored by the same method.
  • the imaging device 3 is a digital camera or a two-dimensional color luminance meter
  • color data for each pixel is output. If the photographed area is larger than the sample 5, pixels in the range of the sample 5 are extracted from the image.
  • the color data acquisition unit 11 converts the acquired color data into a color system used for later color change degree determination.
  • the cluster classification unit 12 classifies the color data of the images of the reference sample 61 and the specimen sample 63 into clusters in the color space.
  • FIG. 6 is a conceptual diagram showing an example of clusters in the color space of the color data of the reference sample and the specimen sample.
  • the color system in which the color data is represented is, for example, an XYZ color system or an L * a * b * color system. In FIG. 6, the L * a * b * color system is used.
  • the color system may be RGB.
  • Each of the reference sample cluster and the sample sample cluster is classified into clusters in the same color system color space. In FIG. 6, assuming the reference sample and the specimen sample of FIG. 4, clusters of three colors are drawn respectively. In FIG. 6, clusters corresponding to white are omitted.
  • the cluster correspondence unit 13 associates the sample sample cluster with the reference sample cluster closest to the cluster in the color space.
  • the correspondence between the cluster of the reference sample and the cluster of the specimen sample is indicated by a double arrow.
  • FIG. 7 is a diagram showing the difference in position in the color space between the reference sample cluster and the sample sample cluster.
  • FIG. 7 is obtained by arranging the reference sample cluster and the sample sample cluster of FIG. 6 in one color space.
  • the difference in the position of the cluster in the color space is indicated by an arrow.
  • the position of the cluster is represented by the coordinates of a point representing the cluster. For example, the center of gravity of the color data belonging to one cluster in the coordinates of the color system. Alternatively, the median value for each coordinate of the color system of one cluster may be used.
  • the determination unit 14 determines the color change degree of the cluster based on the difference in position in the color space between the cluster of the sample sample and the cluster of the reference sample associated with each other by the cluster corresponding unit 13.
  • the color fading degree is determined by, for example, the color fading evaluation formula of Non-Patent Document 2 or the GRC (grey scale rating for change in of Non-Patent Document 3) from the difference in position in the color space between the sample sample cluster and the reference sample cluster. colour) equation.
  • the determination unit 14 obtains a gray scale grade by referring to the grade conversion table from the value corresponding to the fade color grade calculated by the fade color evaluation formula or the GRC calculated by the GRC formula.
  • FIG. 8 is a flowchart showing an example of the operation for determining the degree of color change according to the first embodiment. It is assumed that the reference sample 61 and the specimen sample 63 are obtained by performing sample collection and color change processing before the color change determination.
  • the reference sample 61 is placed on the sample stage 4, and the reference sample 61 is photographed by the imaging device 3 while being illuminated by the illumination device 2 (step S11).
  • the color data acquisition unit 11 acquires the color data of the reference sample 61 from the imaging device 3 (step S12).
  • the specimen sample 63 is placed on the specimen stage 4, and the specimen specimen 63 is photographed by the imaging device 3 while being illuminated by the illumination device 2 (step S13).
  • the color data acquisition unit 11 acquires color data of the specimen sample 63 from the imaging device 3 (step S14).
  • the cluster classification unit 12 classifies the color data of the reference sample 61 into clusters in the color space (step S15). Further, the color data of the specimen 63 is classified into clusters in the same color space (step S16).
  • the cluster correspondence unit 13 associates the cluster of the specimen sample 63 with the cluster of the reference sample 61 that is closest to the cluster in the color space (step S17). Then, for each cluster correspondence, the determination unit 14 determines the color change degree of the cluster from the difference in position in the color space between the cluster of the sample sample 63 and the cluster of the reference sample 61 associated with each other by the cluster correspondence unit 13. (Step S18).
  • the color change degree determination apparatus 10 classifies the color data for each pixel of the images of the reference sample 61 and the specimen sample 63 into clusters in the color space, and the cluster of the specimen sample 63 and the color space in the cluster. And the cluster of the reference sample 61 closest to each other, and the color change degree of the cluster is determined from the difference in position in the color space between the cluster of the sample sample 63 and the cluster of the reference sample 61. As a result, it is possible to determine the color fading for each color regardless of the shape and size of the color pattern of the sample. Since the color data of the specimen sample 63 and the reference sample 61 are photographed by the same imaging device 3 under the same conditions and the color data is acquired, the determination accuracy can be improved regardless of the skill level of the determiner.
  • the imaging device 3 is preferably a two-dimensional color luminance meter from the viewpoint of image resolution, pixel uniformity, and color resolution and accuracy.
  • the imaging device 3 can be a general digital camera or a digital camera attached to a mobile phone.
  • color data may be sampled and A / D converted for each pixel using a camera that outputs an analog signal. Further, color data may be acquired by scanning a photograph with a scanner.
  • the method for determining the color fading of the cluster based on the difference in position in the color space between the cluster of the sample sample 63 and the cluster of the reference sample 61 used in the determination unit 14 is the fade color evaluation formula of Non-Patent Document 2 or It is not restricted to the GRC type of nonpatent literature 3.
  • a simple calculation formula that approximates these formulas may be used. It is also possible to use calculation formulas expressed in different color systems.
  • the object for determining the color change degree of the color change determination apparatus 10 is not limited to the dyeing of the fiber product 6.
  • the color change degree determination apparatus 10 can be used for determining a color change degree such as painting, printing, chemical surface change, or physicochemical surface treatment. In that case, an evaluation formula similar to the fade color evaluation formula of Non-Patent Document 2 or the GRC formula of Non-Patent Document 3 may be determined, and the color change degree may be determined using the formula.
  • the color change degree determination device 10 determines the degree of contamination of a specimen sample.
  • the degree of contamination refers to the amount of contamination in the color change process of a colored sample by comparing the color (contamination) that has been transferred from a colored sample to a white sample with the color change process and the white sample before the color is transferred. Determine the degree. For example, a dyed cloth and a white cloth are washed together, and the degree of color transferred to the white cloth is determined. Alternatively, for example, the colored leather product and the white cloth are rubbed, or the colored sample and the white cloth are overlapped and left, and the degree of color transferred to the white cloth is determined.
  • the reference sample is a white sample before the color is transferred
  • the specimen sample is a sample in which the color is transferred to the white sample by the color change process.
  • the colored sample (leather product) and the specimen may be made of different materials.
  • FIG. 9A is a diagram showing an example of a specimen sample according to Embodiment 2 of the present invention.
  • FIG. 9A is an example of a specimen sample 64 in which the color is transferred to the white cloth when the white cloth and the sample 62 of FIG. 2 are washed together.
  • FIG. 9B is a diagram showing a different example of the specimen sample according to the second embodiment.
  • FIG. 9B is an example of the specimen sample 64 in which the color is transferred to the white cloth when the white cloth and the sample 62 of FIG. 2 are rubbed.
  • a contamination gray scale similar to the gray scale for color fading in FIG. 5 is used.
  • white and gray that becomes dark depending on the degree of contamination are arranged.
  • grade 5 The case where there is no difference from the standard white
  • grade 1 the case where the contamination is the highest.
  • the difference in color intensity between the sample sample and the white sample (reference sample) for each color is compared with the gray scale for contamination, and the difference in color intensity is similar. This is done by selecting a class.
  • the contamination color of the specimen is not uniform, it is generally judged where the density is highest. If the colored sample has a color pattern, the color of the specimen may be diffused and mixed, so it is very difficult to determine the degree of contamination by visual method.
  • the configuration of the color change degree determination apparatus of the second embodiment is the same as that of the first embodiment.
  • the cluster correspondence unit 13 associates each cluster of the specimen sample 64 with the cluster corresponding to the white color of the reference sample 61.
  • the determination unit 14 pollutes the color change degree of the sample sample cluster from the difference in position in the color space between each cluster of the sample sample 64 and the cluster corresponding to the white color of the reference sample 61 correlated by the cluster corresponding unit 13. Determine the degree.
  • the cluster classification unit 12 classifies the color data of the image of the white reference sample and the specimen sample 64 into clusters in the color space.
  • FIG. 10 is a conceptual diagram illustrating an example of clusters in the color space of color data in the case of contamination degree determination. Only the cluster corresponding to white is drawn in the reference sample cluster.
  • the reference sample may have a color pattern like the reference sample 61 of FIG. In that case, in the determination of the degree of contamination, only the cluster corresponding to white is used except for white.
  • the color system is, for example, the XYZ color system or the L * a * b * color system as in the case of the color change determination. In FIG. 6, the L * a * b * color system is used.
  • the color system may be RGB.
  • Each of the reference sample cluster and the sample sample cluster is classified into clusters in the same color system color space.
  • the cluster correspondence unit 13 associates each cluster of the sample sample with a cluster corresponding to white of the reference sample.
  • the correspondence between the cluster of the reference sample and the cluster of the specimen sample is indicated by a double arrow.
  • FIG. 11 is a diagram showing the difference in the position of the cluster in the color space in the case of determining the contamination level.
  • FIG. 11 is obtained by arranging the reference sample cluster and the specimen sample cluster of FIG. 10 in one color space.
  • the difference in the position of the cluster in the color space is indicated by an arrow.
  • the position of the cluster is represented by the coordinates of a point representing the cluster. For example, the center of gravity of the color data belonging to one cluster in the coordinates of the color system. Alternatively, the median value for each coordinate of the color system of one cluster may be used.
  • the darkest point in the range of a certain density or more in the cluster may be used as the representative point.
  • the determination unit 14 determines the degree of contamination as the color change degree of the sample sample cluster from the difference in position in the color space between each of the sample sample clusters associated with the cluster correspondence unit 13 and the cluster corresponding to white of the reference sample. judge.
  • the degree of contamination is determined from, for example, the contamination evaluation formula of Non-Patent Document 2 or the GRS (grey scale rating for Non-Patent Document 3) from the difference in position in the color space between the cluster of the sample sample and the cluster corresponding to white of the reference sample. staining) equation.
  • the determination unit 14 obtains a gray scale grade by referring to a conversion table to a grade from the pollution grade corresponding value calculated by the pollution evaluation formula or the GRS calculated by the GRS formula.
  • FIG. 12 is a flowchart showing an example of the operation for determining the degree of color change according to the second embodiment. It is assumed that the reference sample 61 and the specimen sample 64 are obtained by performing sample collection and color change processing before the color change determination.
  • the reference sample 61 is placed on the sample stage 4, and the reference sample 61 is photographed by the imaging device 3 while being illuminated by the illumination device 2 (step S21).
  • the color data acquisition unit 11 acquires the color data of the reference sample 61 from the imaging device 3 (step S22).
  • the specimen sample 64 is placed on the specimen stage 4 and the specimen sample 64 is photographed by the imaging device 3 while being illuminated by the illumination device 2 (step S23).
  • the color data acquisition unit 11 acquires color data of the specimen sample 64 from the imaging device 3 (step S24).
  • the cluster classification unit 12 classifies the color data of the reference sample 61 into clusters in the color space (step S25). Further, the color data of the specimen sample 64 is classified into clusters in the same color space (step S26).
  • the cluster correspondence unit 13 associates each cluster of the specimen sample 64 with the white cluster of the reference sample 61 (step S27). Then, for each cluster correspondence, the determination unit 14 determines the contamination degree of the cluster from the difference in position in the color space between the cluster of the specimen sample 64 and the white cluster of the reference sample 61 that are associated with each other by the cluster correspondence unit 13. (Step S28).
  • the color change determination device 10 classifies the color data for each pixel of the images of the reference sample 61 and the specimen sample 64 into clusters in the color space, and each of the clusters of the specimen sample 64 and the reference sample 61 are classified.
  • the degree of contamination is determined as the degree of color change of the cluster based on the difference in position in the color space between the cluster of the specimen sample 64 and the white cluster of the reference sample 61 by associating the cluster corresponding to white.
  • the degree of contamination for each color can be determined regardless of the shape and size of the color pattern of the sample. Since the color data of the specimen sample 64 and the reference sample 61 are photographed by the same imaging device 3 under the same conditions and the color data is acquired, the determination accuracy can be improved regardless of the skill level of the determiner.
  • the method for determining the pollution level is not limited to the pollution degree evaluation formula of Non-Patent Document 2 or the GRS formula of Non-Patent Document 3.
  • a simple calculation formula that approximates these formulas may be used. It is also possible to use calculation formulas expressed in different color systems.
  • the target for judging the degree of contamination as the degree of color change of the color change degree judgment device 10 is not limited to the dyeing of the textile product 6 or the dyeing of the leather product.
  • the color change degree determination apparatus 10 can be used to determine the degree of contamination such as painting, printing, chemical surface change, or physicochemical surface treatment. In that case, an evaluation formula similar to the fade color evaluation formula of Non-Patent Document 2 or the GRC formula of Non-Patent Document 3 may be determined, and the color change degree may be determined using the formula.
  • FIG. 13 is a perspective view of a dome type illumination device according to Embodiment 3 of the present invention.
  • a dome illumination device 7 as shown in FIG. 13 is used as the illumination device 2.
  • the dome illumination device 7 includes a dome 71 that is hemispherical and has an inner surface that irregularly reflects light, and a light source 72 that is disposed around the opening of the dome 71 and emits light toward the inner surface of the dome 71.
  • the dome illumination device 7 illuminates an object to be illuminated (sample 5) placed at the center of the opening surface of the dome 71 from the inner surface of the dome 71.
  • FIG. 14 is a block diagram illustrating a configuration example of the color change degree determination apparatus according to the third embodiment.
  • the illumination device 2 is changed to a dome-shaped illumination device 7 from the configuration of the first embodiment. Others are the same as in the first embodiment.
  • the dome 71 of the dome illumination device 7 is shown in cross section.
  • the operation after color data acquisition is the same as that in the first or second embodiment.
  • LEDs Light Emission Diode
  • an annular fluorescent lamp may be arranged around the opening of the dome.
  • the emission ends of a plurality of optical fibers that guide light from one or more light sources may be arranged side by side around the opening of the dome 71. Since the dome 71 diffuses and reflects light over the entire inner surface, almost uniform illuminance can be obtained at the opening surface of the dome 71. Since the irradiation target placed on the opening surface is irradiated with light from all directions on the dome side, the shadow cannot be formed if the irradiation target is a plane.
  • the sample 5 placed on the opening surface of the dome 71 is illuminated almost uniformly. Therefore, even if the sample 5 has a color pattern and the arrangement of the corresponding colors is different between the reference sample 61 and the sample samples 63 and 64, the color change can be accurately determined by comparing the colors.
  • FIG. 15 is a block diagram showing a configuration example of a color change degree determination apparatus according to Embodiment 4 of the present invention.
  • the reference sample 61 and the specimen sample 63 are arranged side by side and the color data of the image is acquired simultaneously.
  • the dome illumination device 7 is used.
  • Other configurations are the same as those in the first or second embodiment.
  • the specimen sample 63 is described as an example, but it can also be applied to the specimen sample 64.
  • the imaging device 3 captures the reference sample 61 and the specimen sample 63 at the same time and outputs them as one image data.
  • the color data acquisition unit 11 extracts the region of the reference sample 61 and the region of the specimen sample 63 from one image data, and acquires the respective color data.
  • the illumination of the reference sample 61 and the specimen sample 63 is not limited to the dome illumination device 7, but when the dome illumination device 7 is used, the illuminances of the reference sample 61 and the specimen sample 63 are almost uniform, and thus are acquired. The accuracy of color data can be improved.
  • FIG. 16 is a flowchart showing an example of the operation for determining the degree of color change according to the fourth embodiment.
  • the imaging device 3 simultaneously captures the reference sample 61 and the specimen sample 63 while being illuminated by the dome illumination device 7, and outputs the image as one image data (step S31).
  • the color data acquisition unit 11 extracts the region of the reference sample 61 and the region of the specimen sample 63 from one image data, and acquires the respective color data (step S32).
  • the operations in steps S33 to S36 are the same as the operations in steps S15 to S18 in FIG.
  • the color fading determination according to the first embodiment is described as an example, but the contamination degree determination according to the second embodiment can be applied in exactly the same manner.
  • the reference sample 61 and the specimen sample 63 are arranged side by side and the color data of the image is acquired at the same time, so the time and labor required for one color change determination can be reduced. . Furthermore, by using the dome-shaped illumination device 7, the accuracy of the color change degree determination can be improved.
  • FIG. 17 is a block diagram showing a configuration example of a color change degree determination apparatus according to Embodiment 5 of the present invention.
  • a cluster number setting unit 15 is added to the color change degree determination processing unit 1.
  • Other configurations are the same as those in the fourth embodiment.
  • FIG. 17 it is shown that the reference sample 61 and the specimen sample 63 are arranged using the dome-shaped illumination device 7. However, regarding the configuration of illumination and imaging, the configuration of the first, second, or third embodiment. It can also be.
  • the cluster number setting unit 15 receives an input of the number of clusters for classifying the color data into clusters.
  • An operator who performs the color change degree determination can set the number of clusters for classifying the color data into clusters. Different numbers of clusters may be set for the reference sample 61 and the specimen samples 63 and 64.
  • the cluster classification unit 12 classifies the color data of the images of the reference sample 61 and the specimen samples 63 and 64 into clusters having the number of clusters input by the cluster number setting unit 15 in the color space.
  • the operation after classification into clusters is the same as in the first or second embodiment. When determining the degree of contamination as in the second embodiment, a cluster corresponding to white is associated regardless of the number of clusters of the reference sample 61.
  • the cluster classification unit 12 selects clusters having the set number of clusters in order from the cluster having the largest number of pixels (color data). Alternatively, clusters having a set number of clusters are selected in descending order of cluster density in the color space. When the set number of clusters is larger than the number of colors of the sample 5, the cluster classification unit 12 may classify the clusters into the clusters based on the originally set standard and ignore the set number of clusters, for example. Alternatively, the cluster classification criteria such as the distance threshold of points belonging to the cluster may be changed to match the set number of clusters. In setting the number of clusters, a color representative of the cluster may be displayed on the display screen, and the target color may be selected.
  • FIG. 18 is a flowchart showing an example of the operation for determining the degree of color change according to the fifth embodiment.
  • the imaging device 3 simultaneously captures the reference sample 61 and the specimen sample 63 while being illuminated by the dome illumination device 7 and outputs the image as one image data (step S41).
  • the color data acquisition unit 11 extracts the region of the reference sample 61 and the region of the specimen sample 63 from one image data, and acquires the respective color data (step S42).
  • the cluster number setting unit 15 receives an input of the number of clusters for classifying the color data into clusters (step S43).
  • the cluster classification unit 12 classifies the color data of the reference sample 61 and the color data of the specimen sample 63 into clusters of the set number of clusters in the color space (step S44).
  • Cluster correspondence (step S45) and determination of the color change degree for each cluster correspondence (step S46) are the same as steps S17 and S18 of FIG.
  • cluster correspondence and determination are performed in accordance with the smaller number of clusters. In that case, cluster association candidates may be displayed and selected.
  • the color fading determination of the first embodiment is described as an example, but the same can be applied to the contamination degree determination of the second embodiment.
  • the number of clusters for classifying color data into clusters in the color space can be set, so that the color change degree can be determined for the number of colors of interest.
  • FIG. 19 is a block diagram showing a physical configuration example of the color change degree determination processing unit according to the embodiment of the present invention.
  • the color change degree determination processing unit 1 includes a control unit 31, a main storage unit 32, an external storage unit 33, an operation unit 34, an input / output unit 35, and a display unit 36.
  • the main storage unit 32, the external storage unit 33, the operation unit 34, the input / output unit 35, and the display unit 36 are all connected to the control unit 31 via the internal bus 30.
  • the control unit 31 includes a CPU (Central Processing Unit) and the like, and executes a color change degree determination process according to a control program 39 stored in the external storage unit 33.
  • CPU Central Processing Unit
  • the main storage unit 32 is constituted by a RAM (Random-Access Memory) or the like, loads a control program 39 stored in the external storage unit 33, and is used as a work area of the control unit 31. Further, the image data and color data of the reference sample and the specimen sample, and the temporary storage data of the cluster classification are stored in the main storage unit 32.
  • RAM Random-Access Memory
  • the external storage unit 33 includes a nonvolatile memory such as a flash memory, a hard disk, a DVD-RAM (Digital Versatile Disc Random-Access Memory), a DVD-RW (Digital Versatile Disc Disc ReWritable), and the processing described above is performed by the control unit 31.
  • a control program 39 to be executed is stored in advance, and data stored in the control program 39 is supplied to the control unit 31 in accordance with an instruction from the control unit 31, and the data supplied from the control unit 31 is stored.
  • the external storage unit 33 stores color data, cluster ranges and positions, determination results, and the like.
  • the operation unit 34 includes a keyboard, a pointing device such as a mouse or a touch panel, and an interface device that connects the keyboard and the pointing device to the internal bus 30. For example, an input operation related to the number of clusters is accepted via the operation unit 34.
  • the input / output unit 35 includes a serial interface or a LAN (Local Area Network) interface connected to the imaging device 3.
  • the color change degree determination processing unit acquires image data of the reference sample 61 and the specimen sample 62 from the imaging device 3 via the input / output unit 35.
  • the display unit 36 is composed of a CRT (Cathode Ray Tube) or LCD (Liquid Crystal Display) or the like, and displays image data, clusters in color space coordinates, the number of clusters set, a determination result of the degree of color change, and the like.
  • CTR Cathode Ray Tube
  • LCD Liquid Crystal Display
  • the processing of the color data acquisition unit 11, the cluster classification unit 12, the cluster correspondence unit 13, the determination unit 14, and the cluster number setting unit 15 of the color change determination processing unit 1 is performed by the control program 39, the control unit 31, and the main storage unit 32.
  • the external storage unit 33, the operation unit 34, the input / output unit 35, the display unit 36, and the like are used as resources for processing.
  • the process by which the above functions are realized is not limited to the above configuration, but can be determined flexibly according to the design conditions.
  • the color data acquisition unit 11 or the cluster classification unit 12 may be divided into two corresponding to the reference sample 61 and the specimen sample 63.
  • the color data acquisition unit 11 and the cluster classification unit 12, the cluster classification unit 12 and the cluster correspondence unit 13, or the cluster correspondence unit 13 and the determination unit 14 may be combined into one process.
  • the hardware configuration and flowchart described above are merely examples, and can be arbitrarily changed and modified.
  • a dedicated circuit or DSP that performs the processing of the color data acquisition unit 11 or the cluster classification unit 12 may be provided, and the processing may be performed by dedicated hardware instead of the control program 39.
  • the central part that performs control processing including the control unit 31, the main storage unit 32, the external storage unit 33, the operation unit 34, the internal bus 30 and the like is not based on a dedicated system, but using a normal computer system. It is feasible.
  • a computer program for executing the above operation is stored and distributed on a computer-readable recording medium (flexible disk, CD-ROM, DVD-ROM, etc.), and the computer program is installed in the computer.
  • the color change degree determination processing unit 1 that executes the above-described processing may be configured.
  • the computer program may be stored in a storage device included in a server device on a communication network such as the Internet, and the color change degree determination processing unit 1 may be configured by being downloaded by a normal computer system.
  • the function of the color change degree determination processing unit 1 is realized by sharing of an OS (operating system) and an application program or by cooperation between the OS and the application program, only the application program portion is stored in a recording medium or a storage device. It may be stored.
  • the computer program may be posted on a bulletin board (BBS: Bulletin Board System) on a communication network, and the computer program may be distributed via the network.
  • BSS Bulletin Board System
  • the computer program may be started and executed in the same manner as other application programs under the control of the OS, so that the above-described processing can be executed.

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Abstract

Dans la présente invention, une unité d'acquisition de données de couleur (11) acquiert des données de couleur pour chaque pixel à partir d'images, photographiées par un dispositif de photographie (3), d'un échantillon de référence qui sert de référence pour la détermination de quantité de variation de couleur et d'un spécimen composé du même matériau que l'échantillon de référence et ayant été soumis à un traitement de variation de couleur. Une unité de classement de groupes (12) classifie les données de couleur des images de l'échantillon de référence et du spécimen en groupes dans un espace de couleur. Une unité d'association de groupes (13) associe les groupes du spécimen aux groupes d'échantillon de référence qui leur sont le plus proche dans l'espace de couleur ou associe chacun des groupes du spécimen à un groupe d'échantillon de référence correspondant au blanc. Une unité de détermination (14) détermine une quantité de variation de couleur entre un groupe du spécimen et un groupe d'échantillon de référence qui ont été associés par l'unité d'association de groupes (13) sur la base de la différence entre les positions des groupes dans l'espace de couleur.
PCT/JP2014/069699 2014-07-25 2014-07-25 Dispositif de détermination de quantité de variation de couleur, procédé de détermination de quantité de variation de couleur, et programme WO2016013112A1 (fr)

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Cited By (2)

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Publication number Priority date Publication date Assignee Title
CN113396319A (zh) * 2019-02-05 2021-09-14 凸版印刷株式会社 颜色转换信息生成方法、颜色转换信息生成系统以及程序
CN114018928A (zh) * 2021-11-26 2022-02-08 国检中心深圳珠宝检验实验室有限公司 一种祖母绿颜色分级的液体标准样品及其制备方法

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JPH01127923A (ja) * 1987-11-12 1989-05-19 Nisshin Somekoujiyou:Kk 染色堅牢度等級測定表示装置
JPH08193961A (ja) * 1994-10-13 1996-07-30 Shimomura Komuten:Kk 床面等の汚れ測定方法
JP2004122653A (ja) * 2002-10-04 2004-04-22 Dainippon Printing Co Ltd 色調変動監視方法及び装置
JP2011169867A (ja) * 2010-02-22 2011-09-01 Ncd:Kk 光分析装置

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH01127923A (ja) * 1987-11-12 1989-05-19 Nisshin Somekoujiyou:Kk 染色堅牢度等級測定表示装置
JPH08193961A (ja) * 1994-10-13 1996-07-30 Shimomura Komuten:Kk 床面等の汚れ測定方法
JP2004122653A (ja) * 2002-10-04 2004-04-22 Dainippon Printing Co Ltd 色調変動監視方法及び装置
JP2011169867A (ja) * 2010-02-22 2011-09-01 Ncd:Kk 光分析装置

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113396319A (zh) * 2019-02-05 2021-09-14 凸版印刷株式会社 颜色转换信息生成方法、颜色转换信息生成系统以及程序
CN113396319B (zh) * 2019-02-05 2024-04-30 凸版印刷株式会社 颜色转换信息生成方法、颜色转换信息生成系统以及程序
CN114018928A (zh) * 2021-11-26 2022-02-08 国检中心深圳珠宝检验实验室有限公司 一种祖母绿颜色分级的液体标准样品及其制备方法

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