• Title/Summary/Keyword: color matching

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Application of Deep Black Color on Polyester Fabrics by Color Matching (컬러 매칭에 의한 폴리에스테르 직물의 심색효과)

  • Choi, Youn-I;Bae, Kie-Seo;Kim, Yong-Duck;Park, Eun-Hee;Hong, Young-Ki
    • Textile Coloration and Finishing
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    • v.22 no.1
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    • pp.28-36
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    • 2010
  • The deep black coloration of polyester fabrics was obtained by the physical properties of color and color mixing system. In this experiment, we have measured the absorbance and the reflectance of various disperse dyes for accomplishing the lowest lightness value and uniform reflectance, and new matching algorithm and computer color matching was made. The matching used both isomeric and metameric matching. The color matching of deep black color represented low lightness. Though actual reflectance of dyed polyester fabrics using these matching results was as high as theoretical one, low lightness value($L^*$) and uniform appearance were achieved.

Color matching of color CRT and dyed fabric by using experimental method (실험실적 방법에 의한 Color CRT와 염색직물의 칼라 매칭)

  • 김청섭;홍영기;배기서
    • Textile Coloration and Finishing
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    • v.13 no.6
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    • pp.397-404
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    • 2001
  • The accurate representation of the colors of dyed fabric on a color CRT(cathode ray tube) screen is the basis for the automatic process in dyeing industry. In the former study, we had focused on the theoretically color matching method between CIE(International Commission on illumination) and RGB color coordinates, but In this study we tried simulating the colors obtained from fabrics on the color CRT by using experimental method. we obtained the following results. 1. We could simulate all of the color CRT by gamut mapping method, even though some of the KOSCOTE(Korea Standard Color of Textile) colors represented on the color CRT didn't exist in the region of color region 2. We could do conditional matching by CIE system, even though it was hard to do invariant matching the Red, Green, Blue phosphors of the color CRT because of the SPD(Spectral Power Distribution) which had been set up before. 3. We could simulate all the colors obtained from fabrics on the color CRT by matching those two color groups from KOSCOTE fabrics and color CRT using match algorithm and matching programs. 4. If we get over on obstacles by grafting CCM and CCK machines which have been used in educational and industrial areas by matching KOSCOTE with color CRT we will be able to invent color simulation system controled automatically.

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Color matching of color CRT and dyed fabric by using experimental method (실험실적 방법에 의한 Color CRT와 염색직물의 칼라 매칭)

  • Kim, Cheong Seop;Hong, Yeong Gi;Bae, Gi Seo
    • Textile Coloration and Finishing
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    • v.13 no.6
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    • pp.39-39
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    • 2001
  • The accurate representation of the colors of dyed fabric on a color CRT(cathode ray tube) screen is the basis for the automatic process in dyeing industry. In the former study, we had focused on the theoretically color matching method between CIE(International Commission on Illumination) and RGB color coordinates, but In this study we tried simulating the colors obtained from fabrics on the color CRT by using experimental method. we obtained the following results. 1. We could simulate all of the color CRT by gamut mapping method, even though some of the KOSCOTE(Korea Standard Color of Textile) colors represented on the color CRT didn′t exist in the region of color region. 2. We could do conditional matching by CIE system, even though it was hard to do invariant matching the Red, Green, Blue phosphers of the color CRT because of the SPD(Spectral Power Distribution) which had been set up before. 3. We could simulate all the colors obtained from fabrics on the color CRT by matching those two color groups from KOSCOTE fabrics and color CRT using match algorithm and matching programs. 4. If we get over on obstacles by grafting CCM and CCK machines which have been used in educational and industrial areas by matching KOSCOTE with color CRT we will be able to invent color simulation system controled automatically.

Color matching application which can help color blind people based on smart phone (색맹인 사람들을 도울 수 있는 스마트 폰 기반 색상 매칭 애플리케이션)

  • Chung, Myoung-Beom
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.5
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    • pp.65-72
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    • 2015
  • In this paper, we proposed the color matching application based on smart phone which can help color blind people. For color blind people, the existing methods and applications supported color matching application which based on mobile. However, because the most research only showed the color value and color name through capture image of mobile camera, those cannot compare with capture image color of mobile camera and color of real object in real-time. To solve those problem, we proposed the color matching algorithm and developed the color matching application that can compare with color of mobile camera's capture image and color of real object in real-time, because the proposed application divides screen of smart phone into two parts and it show one part as capture image of smart phone camera and the other part as real-time camera image of smart phone. Color matching algorithm calculate cosine similarity using Red, Green, Blue, and Hue value of each image for real-time comparing and show matching result according to similarity value in real-time. To evaluate the performance of the proposed application, we tested a color matching experiment using the proposed application and the matching result was 98% success rate. Therefore, the proposed application will be a useful application which can help color blind people.

New color matching system for color reproduction

  • Muraoka, Tetsuya;Nakashima, Noboru
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.211-214
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    • 1996
  • The color matching of the paints are difficults for the three items of the issues, i.e., the variation of surroundings, the form of vane, and the rotative velocities of the vane. A new color matching system improved to the three items of the issues has constructed by the present study.

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Color matching between monitor and mobile display device using improved S-curve model and RGB color LUT (개선된 S-curve 모델과 RGB 칼라 참조표를 이용한 모니터와 모바일 디스플레이 장치간 색 정합)

  • 박기현;이명영;이철희;하영호
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.15-18
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    • 2003
  • This paper proposes a color matching 3D look-up table simplifying the complex color matching procedure between a monitor and a mobile display device. In order to perform color matching, it is necessary to process color of image in the device independent color space like CIEXYZ or CIELAB. We improved the S-curve model to have smaller characterization error than tolerance error. Also, as a result of the experiments, we concluded that the color matching look-up table with 64(4$\times$4$\times$4) is the smallest size allowing characterization error to be acceptable.

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Implementation of Intelligent Expert System for Color Measuring/Matching (칼라 매저링/매칭용 지능형 전문가 시스템의 구현)

  • An, Tae-Cheon;Jang, Gyeong-Won;O, Seong-Gwon
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.7
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    • pp.589-598
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    • 2002
  • The color measuring/matching expert system is implemented with a new color measuring method that combines intelligent algorithms with image processing techniques. Color measuring part of the proposed system preprocesses the scanned original color input images to eliminate their distorted components by means of the image histogram technique of image pixels, and then extracts RGB(Red, Green, Blue)data among color information from preprocessed color input images. If the extracted RGB color data does not exist on the matching recipe databases, we can measure the colors for the user who want to implement the model that can search the rules for the color mixing information, using the intelligent modeling techniques such as fuzzy inference system and adaptive neuro-fuzzy inference system. Color matching part can easily choose images close to the original color for the user by comparing information of preprocessed color real input images with data-based measuring recipe information of the expert, from the viewpoint of the delta Eformula used in practical process.

Object Recognition by Pyramid Matching of Color Cooccurrence Histogram (컬러 동시발생 히스토그램의 피라미드 매칭에 의한 물체 인식)

  • Bang, H.B.;Lee, S.H.;Suh, I.H.;Park, M.K.;Kim, S.H.;Hong, S.K.
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.304-306
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    • 2007
  • Methods of Object recognition from camera image are to compare features of color. edge or pattern with model in a general way. SIFT(scale-invariant feature transform) has good performance but that has high complexity of computation. Using simple color histogram has low complexity. but low performance. In this paper we represent a model as a color cooccurrence histogram. and we improve performance using pyramid matching. The color cooccurrence histogram keeps track of the number of pairs of certain colored pixels that occur at certain separation distances in image space. The color cooccurrence histogram adds geometric information to the normal color histogram. We suggest object recognition by pyramid matching of color cooccurrence histogram.

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Characterization Method and Color Matching Technology for Mobile Display (모바일 디스플레이를 위한 특성화 방법과 색 정합 기술)

  • Park Kee-Hyun;Ha Yeong-Ho;Lee Cheol-Hee
    • Journal of Korea Multimedia Society
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    • v.9 no.4
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    • pp.434-442
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    • 2006
  • This paper proposes a color-matching 3D look-up table that simplifies the complex color-matching procedure between a monitor and a mobile display device, where the image colors are processed in a device-independent color space, such as CIEXYZ or CIELAB, and gamut mapping performed to compensate the gamut difference. The transform from a device-dependent RGB color space to a device-independent color space is implemented by performing display characterization. The mobile LCD characterization error using the S-curve model is larger than the tolerance error since the mobile LCD has the channel-chromaticity-inconstancy and channel-dependence characteristics. In this paper we reduced the characterization error using the electro-optical transfer functions of X, Y, and Z value for R, G, B, C, M, Y, K components. Experimental results demonstrated that 64 ($4{\times}4{\times}4$) was the smallest size of color-matching look-up table that could produce an image with an acceptable reproduction error, based on a comparison of color-matched images resulting from the proposed color-matching look-up table and complex step-by-step color-matching procedures.

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Color Matching by ICC Profile for Printer Mini-Driver (프린터 미니드라이버에서의 ICC 프로파일 기반 칼라매칭)

  • 정주영;김춘우
    • Proceedings of the IEEK Conference
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    • 2000.11d
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    • pp.259-262
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    • 2000
  • One of the major factors determining the printing quality of a color printer is the color matching that is performed inside the printer driver In this paper, the mini driver for the color printer is built using the Microsoft 98DDK. Also, the ICC profile proposed as the standard for the color management system is generated. The color matching capability of the mini driver with the ICC profile is examined and compared with that of the commercial printer driver.

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