• Journal of Korean Ophthalmic Optics Society
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• v.12 no.3
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• pp.89-91
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• 2007

Color vision test was conducted to elementary school students at age of 9 to 13, with total subject number of 598 which live in Gwang Ju area. 325 (54.3%) boys and 273 (45.7%) girls were subjected using Hahn Color Vision test to find out color recognition problems. 1. Ratios of color vision abnomality were 6.25% in 9 year old students, 9.2% in 10 year old students, 8.4% in 12 year old students, 7.8% in 13 year old students, which means 7.9% of the total 598 subjects had color recognition matters. 2. Red-Green dyschromatopsia was 7.8% of the total 598 subjects which includes most of subjects. None of them had green-yellow recognition problem. Full dyschromatopsia had frequency of 0.2%. 3. 10.7% of boys had color vision abnormality, while 10.7% of girls had color vision abnormality, which means that boys have color recognition problems with higher rate than girls.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2950-2952
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• 2005

색각 이상자는 특성 색상에 대한 판별이 떨어지므로 색 정보에 대한 판별 향상을 위해서는 색상의 적절한 변형이 필요하다. 본 논문은 전 세계의 1/12에 해당하는 색각 이상자를 위한 실시간 색역폭 사상 구현에 관한 것이다. 색각 이상자를 위한 실시간 색역폭 사상은 3차원 룩업 테이블과 이를 이용한 3차원 보간기로 구성이 되며, 여기서 3차원 룩업 테이블은 각각의 색각 이상자들의 특성을 고려한 보정 데이터를 사용한다. 제안된 방식은 DTV와 같이 고속의 영상 신호에 적용이 용이하고 또한 3차원 룩업 테이블의 변경에 따라 여러 유형의 색각 이상자에도 적용이 가능하다.

• Journal of Korean Ophthalmic Optics Society
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• v.16 no.3
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• pp.307-312
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• 2011

Purpose: To investigate the prevalence of congenital and age-related color vision deficiencies over a wide range of ages among residents in two urban communities of Kyeonggi-Do. Methods: A total of 935 subjects, consisting of 452 males and 483 females, participated in this study. Lanthony D-15 desaturated panels test were used to assess color vision. Results: Prevalence of color vision deficiency was 4.81% for total, 6.64% for males and 3.11% for females. Congenital color vision deficiency was 3.54% for males and 0.41% for females. Tritan deficiency, which was the post-natal age-related, was 2.99% (3.32% for males, and 2.69% for females). Conclusions: The result imply that color vision deficiencies is influenced by age. As an age-related color vision deficiencies, Tritan is most frequently found in the age group over 50.

• Journal of Preventive Medicine and Public Health
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• v.29 no.3 s.54
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• pp.529-538
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• 1996

We investigated the occurrence of color vision loss in 70 organic solvent mixtures exposed workers and in 47 controls. Color Vision was assessed with a color arrangement test designed to identify the defective color sense, the Han Double 15-Hue Test. The results of the test were no significant difference between exposed workers and controls in the proportion of subjects who committed one or two errors. Quantitative analysis, using color confusion index(CCI), showed no signicant difference between exposed workers and controls. A significant linear correlation was present between age and CCI in both exposed workers (CCI=0.0056age + 0.94; r=0.23; p<0.05) and controls(CCI=0.0066age + 0.86; r=0.33; p<0.05). Qualitative analysis of the patterns on the hue circle showed that the prevalence of acquired dyschromatopsia was 21% in both and no significant difference. Multiple regression analyses showed that age was significantly related to color vision loss. These results did not provide evidence of a relationship between organic solvents exposure and incidence of color vision loss. In field studies for monitor the people at risk of the acquired color vision loss involving low-dose organic solvents exposed workers, both quantitative and qualitative information should be considered.

• Journal of Korean Ophthalmic Optics Society
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• v.6 no.1
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• pp.139-144
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• 2001

In order to analyze of the color perception Farnsworth Test Panel D-15 in the CIELab color space coordinates, it was measured by the reflectance spectrum of the 380~780nm wavelength regions. The Test Panel D-15 was situated in the near origin point of higher the saturation in CIELab coordinates (a, b). Normal person perceived to the similar color for the color of small color difference, and color deficiency person depended on the confusing color line and the neutral point unconcerned with the color difference. In case of Ptotanopia, Deutrnopia, r-g defect, y-b defect with the color deficiency, the neutral points position (a,b) were each (2.12,1.02), (4.25,2.05), (2.51,0.25), (1.20,-1.10).

• 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.

• Journal of Korean Ophthalmic Optics Society
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• v.6 no.1
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• pp.81-85
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• 2001

The color vision was composed of the wavelength absorption of three R. G. B cone photo-receptors and the r-g, y-b channel of an opponent process. The color vision defects mechanism for the electric circuit made up a photo cell, relay switch and transformer. This mechanism very well applied to the color vision defects mechanism owing to be y-b chromatic valence function in case of a cone R or G defects and to be r-g chromatic valence function in case of a cone B defects.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.3
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• pp.91-101
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• 2013

This paper proposes a new re-coloring method for the people with the red-green color vision deficiency (CVD). These people have difficulty in discriminating the red and green colors since they abnormally perceive the hue and luminance value of the colors. We introduce a color transformation that adjusts the hue and luminance value in HSV color space. The color transformation is determined according to the severity of CVD. Our aim is to maintain the color differences in original image while maintaining the recolored image to be natural to the people with normal color vision. Experimental results show that the proposed method can yield more comprehensible images for the people with red-green CVD while maintaining the naturalness of the recolored images.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.360-362
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• 2019

본 논문에서는 k-Means 클러스터링을 활용한 컬러 기반 이미지 추출을 통한 색각 검사 방안 연구를 진행한다. 이를 위해, RGB 컬러스페이스 기반의 이미지를 특별한 컬러스페이스 이미지로 변환 후 컬러 패턴 분포에 따라 k-Means 클러스터링을 적용하여 다양한 형태의 이미지를 추출하는 실험을 수행한다. 위의 실험을 통해 하나의 이미지를 컬러 분포 패턴을 통해 클러스터링하여 이미지를 추출을 통하여 정상인과 색각 이상자를 판별할 수 있었다. 실험 결과, 다양한 형태와 색을 가진 이미지를 추출하여 정상인이 보는 이미지와 색각 이상자가 보는 이미지가 다른 것을 확인하였다.

• Journal of Korean Ophthalmic Optics Society
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• v.13 no.4
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• pp.109-114
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• 2008

Purpose: To assess the reproducibility and repeatability for each color vision test method. Methods: The subjects for color vision test were 30 students without congenital color vision deficiency and they major in optometry in a university, Korea. The type of color vision test selected for this study were Hans color vision test, Hans 15 hue test and Lanthony D 15 hue test. The Ishihara test was added for assessment of reliability of inter-tester. Results: All of the subjects were classified into normal at pseudoisochromatic plates, but one subject's result showed mild blue-yellow color deficiency at Hue discrimination. Results of 3 repeated test for subjects and inter-tester examination showed no errors at pseudoisochromatic plates. There were differences in mild errors among repeated test at Hue discrimination, but no differences were found in the results of repeated test to classify color vision deficiency. Conclusion: Each tester had better be more skilled to test even simple color vision test for eliminating the possibility of mild errors. Each subject might just as well be careful in color vision test. It is required to test both method of pseudoisochromatic plates and Hue discrimination in screening test.