• The KIPS Transactions:PartB
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• v.10B no.5
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• pp.535-542
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• 2003

This study is concerned with an assistive technology which reduces color blinds´s confusion when they access electronic documents including color objects in their computers. In this study, 1 restrict the assistive technology would apply to windows operating system, 256 color mode and implement to minimize color distortion which occurs in multi window environments because of color approximation process. As a basic palette, I use a 216 colors web safe palette which the Christine proposed as a standard for color blind, expand it to 256 colors to apply all computer displays using Microsoft Windows as its operating system and implement it as windows application. To test its effectiveness, I use a simulator for dichromats, as results of the test, the developed color vision deficiency correction S/W is effective to reduce the confusion. It is more effective to use the implemented S/W in both of design and client process for electronic documents.

• 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.

• 건강소식
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• v.14 no.8 s.141
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• pp.23-23
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• 1990

• Journal of Haehwa Medicine
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• v.1 no.2
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• pp.195-213
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• 1992

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.14 no.6
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• pp.6-11
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• 2000

The Purpose of this study was to investigate the Color Image according of Language and Nonlanguage stimulant. 185 university students were selected in this experimental study. The result of this study were as follow:It was classified into the sense of activity, warmth, refinement and weight by Factors Analysis. There was significant difference between Language and Nonlanguage stimulant. Namely, the evaluation of color image by Nonlanguage stimulant was expressed strong. In particular, Red and Yellow were not shown the difference of evaluation by the stimulant. But Blue and Green were shown the difference of evaluation.

• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.2
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• pp.139-146
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• 2020

The camouflage pattern was difficult to distinguish from the surrounding background, so it was difficult to classify the object and the background image when the color image is used as the training data of deep-learning. In this paper, we proposed a red-green color blindness image transformation method using the principle that people of red-green blindness distinguish green color better than ordinary people. Experimental results show that the camouflage soldier's recognition performance improved by proposed a deep learning model of the ensemble technique using the imitated red-green-blind image data and the original color image data.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.190-193
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• 2001

본 연구는 색채환경이 정상인의 심전도에 미치는 영향을 정량적으로 분석하여 색채 환경이 인체에 미치는 영향을 규명하고자 하였다. 피험자는 색맹을 가지고 있지 않고 인지기능에 장애가 없는 정상 성인 남, 여 50명을 대상으로 하였다. 색채환경의 제시는 암실에서 백색 광원에 채색 필터를 사용하여 제시하였다. 피검자는 6가지 색채 환경 안에서 심전도를 측정하였으며, HRV 분석을 하였다. HF/LF의 비를 비교 분석하여 본 결과, 남자는 녹색에서 색채 자극전보다 자극후가 HF/LF의 비가 0.508(p<0.07) 상승한 것을 볼 수 있었으며, 여자는 파랑색에서 색채자극전보다 자극후 HF/LF의 비가 0.677상승한 것을 볼 수 있었다. 이는 남자는 녹색에서 여자는 파랑색에서 더욱 편안함과 안락감을 느끼게 된다는 것을 의미한다. 따라서 본연구의 결과는 색채 환경이 인체에 미치는 영향을 규명함으로써 좀 더 편안한 색채 환경의 설계에 도움을 줄 것으로 기대된다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.321-322
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• 2011

이 논문에서는 최근 각광 받는 의료 융합 IT를 이용한 모바일 콘텐츠로써 안과 병원을 찾지 않고도 스마트폰을 이용하여 건강관리 서비스를 제공하는 스마트폰 앱의 개발을 다룬다. 개발하려는 서비스를 통하여, 자신의 눈 상태를 체크하고 예방할 수 있으며, 주기적인 시력검사 및 색맹/색약, 난시/근시 등의 질환을 검사하고 동체시력운동, 원근법 눈운동, 눈체조 등 눈이 좋아지는 운동과 눈이 좋아지는 그림을 통하여 눈의 피로를 해소하고자 한다. 또한 검사 결과에 따른 개인별 검사 관리표, 시력 예방 관리 그래프 제공하여 자가진단 및 시력 관리를 할 수 있도록 한다. 이러한 서비스는 시간과 장소에 구애 받지 않고 사용자에게 제공 하도록 스마트폰 앱으로 개발한다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.181-183
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• 2002

컴퓨터와 인터넷의 발달로 과거에는 서적이나 신문과 같은 종이를 통하여 공급되던 정보들이 전자문서로 바뀌고 있고, 전자문서에서는 색상 정보를 동반한 그래픽과 영상 정보의 비중이 크게 높아지고 있다. 그러나 색상 인식 기능이 없거나 손상된 색각 장애자의 경우 전자 문서에서 색상으로 전달하는 중요한 정보를 인지하지 못하여 정보 취득의 평등권이 침해당하고 있다. 본 연구에서는 윈도우즈를 운영체계로 하는 컴퓨터에서 적록 색맹 및 색약을 가진 색각 장애자를 위하여 전자 문서상에서 제공되는 색상을 변환하여 보정하는 색각 보정 시스템을 설계하고 구현하여 그 타당성을 입증하였다. 개발된 시스템은 여러 문서를 동시에 사용할 때에도 적용된 보정 색상이 유지된다.

• Journal of Korean Ophthalmic Optics Society
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• v.4 no.1
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• pp.69-72
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• 1999

Testing of color vision by Ishihara's test was followed in 1306 healthy elementary school students from 8 to 13 years old. The number of color deficiency was 27(2.07%) patients who consisted in 25(3.8%) boys among 654(male) and 2(0.31%) girls among 652(female). The male' s patients were definitely more than female's. The type of color deficiency were consisted in 10(37%) patients of red-green anomaly, 7(26%) patients of anomalous trichromatism, 6(22%) patient of red-green anopia and 4(15%) patients who were difficult to classify. All of patients were normal binocular vision and visual acuity.