• Journal of Biomedical Engineering Research
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• v.21 no.3 s.61
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• pp.321-331
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• 2000

Multiple 15-hue tests were designed and implemented on a PC in the study so as to quickly and quantitatively evaluate color vision acuity. Difficulty of the test was control)ed by the value of CDBACC (color difference between adjacent color chips) calculated using a CIELAB formula. The multiple 15-hue tests consist of eight of the hue tests (test 3-10) and three of the basic color (red, green, blue) tests (test 11-13). The 15 colors used for the hue tests were specified by the 15 color coordinates that were located at a constant distance (d = 2. 3. 5. 7, 10, 20, 30. 40) from white reference in the CIE chromaticity coordinate system and were separated by a constant color difference (CDBACC = 0.75, 1.1, 1.8. 2.5. 3.5. 7.5. 11, 14) from the adjacent chips. The color coordinates for the 15 chips for the basic color tests were the same as those of the 15 points spaced equally by a constant color difference (6.87 for the green color test. 7.27 for the red color test, 7.86 for the blue color test) from the white reference along the axis of red, green and blue. Thirty normal subjects who were not color blind were taken to undergo the multiple 15-hue tests. It was observed that most of the subjects correctly arranged color chips for the tests with CDBACC greater than 5, whereas no one correctly answered for those with CDBACC less than 2. Rapid changes in the number of the subjects correctly arranged took place when CDBACC of the tests was between 2 and 4.5. In the basic color tests, unlike the hue tests having similar values of CDBACC, it was seen that the subjects arranged color chips even less correctly. It was found that JNCD (just noticeable color difference) - a measure of color vision acuity was about 3 in average for the subjects. The JNCD was chosen as the value of the CDBACC of the test for which about $50\%$ of the subjects failed to successfully arrange color chips. ERCCA (error rate of color chips arrangement) for the test with CDBACC the same as the JNCD was shown to be about $20\%$. It is expected that the multi 15-hue tests implemented on a PC in the study will be an economical tool to quickly and quantitatively evaluate color vision acuity and, accordingly, the tests can be used for early diagnosis to massive potential patients suffering from diseases (ex. diabetes, glaucoma) which may induce changes in color vision acuity.

• The Research Journal of the Costume Culture
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• v.24 no.5
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• pp.531-543
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• 2016

The purpose of this study is to classify fashion lifestyle types for color planning and to propose color planning of spring & summer by fashion lifestyle by analyzing preferred colors by fashion lifestyle type. The survey was conducted on women between the ages of 30 and 59 using a separately prepared questionnaire and color sample table and also through one-on-one interviews. The results of this study are as follows. First, the participants' fashion lifestyles were divided into three categories: information individuality type, display type, and practicality type. Second, regarding basic colors: the basic color consistently used for a long time, it was found that there were significant differences in preferred hue and tone according to the types of fashion lifestyles. Specifically, the most preferred hue of all the fashion lifestyle types was achromatic color N and the most preferred tone was V. Third, regarding color trends: the trendy color occupying a market transiently, there were significant differences in preferred hue and preferred tone according to the types of fashion lifestyle. The most preferred hue of all the fashion lifestyle types was B. The most preferred tone of the information individuality type and the display type was V, and that of the practicality type was B. The study found that, in color planning, fashion lifestyles can function as an effective tool to subdivide consumers. Based on the empirical results of this study, I propose that color planning should be based on the type of fashion lifestyle.

• Journal of the Korean Society of Costume
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• v.61 no.10
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• pp.16-31
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• 2011

This paper aims to identify the similarities and differences of color preference for mountain climbing wear according to gender, season and item. Total of 749 photos of mountain climbers were taken in 2009 during weekends in May and October at two mountains in Seoul. In order to analyze color by hue and tone, all the data were digitalized using Photoshop and converted to HV/C by using the Munsell Conversion software. For the purpose of data analysis, 13 colors of hue, including 10 base colors of the Munsel color system plus white, gray and black, and 12 tones of PCCS were grouped into 5 groups according to close distance. Jumper, t-shirts, vest and pants were selected as the 4 item categories. Results showed that there were clear differences in color preference based on gender. Women, with a preference for red, reddish purple, black, purple and blue, displayed wider range of choices in color as compared to men, who preferred black and blue color throughout all seasons. Yellow, green, and greenish blue were less preferred by both men and women. For pants, black represented over 90% as the main color for both genders. Overall, men preferred dark tones and women preferred vivid and bright tones. Moreover, there were less distinct differences in color preference according to season and item.

• Fashion & Textile Research Journal
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• v.11 no.5
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• pp.709-719
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• 2009

Since the beginning of time people had been using color to mark territory and decorate their surroundings. Color was taken for granted today as an intrinsic part of every waking moment. In modern age, color education was very important curriculum of art and design. In general, color expressed by hue, value and chroma but used the tone on the design spot, therefore the tone concept education was very important to color education. In this study I planned the usable "Systematic Color Coordinate System 180" for general color education on hue and tone color system and manufactured the color papers, color chart and color code based on the system. "Systematic Color Coordinate System 180" was attached the Munsell notation and common color names which could reappear the colors when needed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.18 no.36
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• pp.31-39
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• 1995

This study reflected sensitivity cognition in using color and evaluated the performance in task regarded GUI environment. Largely, three experiments were conducted. First, the searching time in text environment was compared with the searching time in color environment. Second, to know relationship of hue, saturation, lightness which are factors of color, and searching time, the searching time was measured using two-way ANOVA with interaction with three independent variables: hue, saturation, and distance. Third, sensitivity cognition about color was investigated and the performance of searching task was analyzed in the environment designed by color regarded sensitivity cognition. According to statistical results, the average searching time was decreased about 50.31% in color environment. The searching time was significant among the difference of hue and saturation. For the factor of color, the more the ratio of green and red was increased, the more searching time was decreased. The more the ratio of gray was increased, the more searching time was increased. And the searching time was developed in the environment designed by color regarded sensitivity. The purpose of this study is the presentation of sensitivity realization method and verification in the reflection and application of sensitivity to the industrial environment and design.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.472-475
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• 2003

본 논문에서는 칼라맵 인덱스와 Hue 정보를 이용하여 반복적 병합을 통해 분할하는 칼라 영상 분할 방법을 제안하였다. 먼저 영상을 벡터 양자화 한 후 양자화 칼라맵 인덱스를 이용해 초기 영역을 설정한다. 초기 영역으로 선택된 영역들은 Hue 정보를 이용하여 영역을 병합하였고 그 후 미소영역을 병합하였다. 이때 반복처리로 인해 수행시간이 많이 소요되는 것을 개선하기 위해 Hue 정보를 이용한 영역 병합 처리에서 두 개의 테이블을 이용하여 속도를 개선하였다. 후처리에서는 과분할된 영역을 제거하기 위해 RGB 칼라 성분의 유클리디언 거리를 이용하여 주변유사 영역에 병합하였다. 제안 방법은 다수의 칼라 영상에 적용하여 좋은 분할 결과와 빠른 처리속도를 보여주었다.

• 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.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1996.06a
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• pp.181-185
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• 1996

Color image is largely corrupted by various ambient illumination. However, human perceives always white color as white under any illumination because of a characteristic of human vision, called color constancy. In the conventional algorithm which applied the constancy effect, after the RGB color space is transformed to the IHS(Intensity, Hue, and Saturation) color space, then the hue is preserved and the intensity or the saturation is properly enhanced. Then the enhanced IHS color is reversely transformed to the RGB color space. In this process, the color distortion is included due to the color gamut error. But in the proposed algorithm, there is not transformation. In that, the RGB color is considered as 3 dimensional color vector and we assume that white color is the natural daylight. As the color vector of the illumination can be calculated as the average vector of R, G, and B image, we can achieve the constancy effect by simply rotating the illumination vector to the white color vector. The simulation results show the efficiency of the vector rotating process for color image enhancement.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.8
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• pp.1165-1176
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• 2002

This study intended to provide more refined information on color preferences by systematizing the concept of the color preference(general color preference, apparel color preference) and revealing different trends in the color preference and the actual possession of apparels. We collected data from 303 females in the ages between 20 and 40 in Seoul and analyzed by paired t-test. The results were as follows: 1. The analysis on general color preference, apparel color preference, and apparel possession color revealed that the cold colors such as blue and violet marked higher, and the warm colors such as yellow and orange marked lower in general color preference. For apparel color preference, neutral and brown were among the highest and the rest of the colors were in the same trend as general color preference. Apparel possession color showed defined accordance with apparel color preference. In terms of tones, pale tone marked the highest in general color preference and was followed by vivid, dull, and dark tones in decreasing order. For apparel color preference, pastel, dul1, and dark tones were among the highest. 2. Comparison between general color preference and apparel color preference in terms of hue showed that, except for orange, every hue showed disagreement in general color preference and apparel color preference. Neutral and brown hues marked higher in apparel color preference than in general color preference where as a]1 the other hues marked higher in general color preference. Comparison between apparel color preference and apparel possession color in terms of hue revealed that in most hues, apparel possession color was lower than apparel color preference. In terms of tones, vivid and pale tones marked higher in general color preference than in apparel color preference while dull and dark tones marked higher in apparel color preference than in general color preference.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.480-483
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• 2005

This study has proposed a method of content-based image retrieval in order to overcome disadvantages of color histogram. The existing histogram method has a weak point that reduces accuracy because of quantization error, and more. In order to solve this, we convert color information to HSV and quantize Hue factor being net color information and calculate histogram and then use this for retrieval feature that is robust in brightness, movement, and rotation. As a result of experimenting, the method proposed has showed better precision than the existing method.