• Title/Summary/Keyword: Protanopia

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A Novel Color Conversion Method for Color Vision Deficiency using Color Segmentation (색각 이상자들을 위한 컬러 영역 분할 기반 색 변환 기법)

  • Han, Dong-Il;Park, Jin-San;Choi, Jong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.5
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    • pp.37-44
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    • 2011
  • This paper proposes a confusion-line separating algorithm in a CIE Lab color space using color segmentation for protanopia and deuteranopia. Images are segmented into regions by grouping adjacent pixels with similar color information using the hue components of the images. To this end, the region growing method and the seed points used in this method are the pixels that correspond to peak points in hue histograms that went through a low pass filter. In order to establish a color vision deficiency (CVD) confusion line map, we established 512 virtual boxes in an RGB 3-D space so that boxes existing on the same confusion line can be easily identified. After that, we checked if segmented regions existed on the same confusion line and then performed color adjustment in an CIE Lab color space so that all adjacent regions exist on different confusion lines in order to provide the best color identification effect to people with CVDs.

Construction of Confusion Lines for Color Vision Deficiency and Verification by Ishihara Chart

  • Cho, Keuyhong;Lee, Jusun;Song, Sanghoon;Han, Dongil
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.4
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    • pp.272-280
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    • 2015
  • This paper proposes color databases that can be used for various purposes for people with a color vision deficiency (CVD). The purpose of this paper is to group colors within the sRGB gamut into the CIE $L^*a^*b^*$ color space using the Brettel algorithm to simulate the representative colors of each group into colors visible to people with a CVD, and to establish a confusion line database by comparing colors that might cause confusion for people with different types of color vision deficiency. The validity of the established confusion lines were verified by using an Ishihara chart. The different colors that confuse those with a CVD in an Ishihara chart are located in the same confusion line database for both protanopia and deutanopia. Instead of the 3D RGB color space, we have grouped confusion colors to the CIE $L^*a^*b^*$ space coordinates in a more distinctive and intuitive manner, and can establish a database of colors that can be perceived by people with a CVD more accurately. Editor - Highlight - Do these changes reflect the intended meaning? If not, please rephrase as intended.