• 한국의류학회지
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• 제26권1호
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• pp.133-143
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• 2002

The textile industry is petting increased effort to manufacture the value-added products that gives the differentiated characters at every level of fiber and fabric production. The color is an important element to be used strategically in order to push up the value-added design. The colors of apparel products have a close relationship with the skin colors of consumers and their preference colors. This study was carried out to cluster the skin colors of the Korean women into several similar skin colors and to analyze their preference colors by the classified groups. We measured the skin colors of 354 Korean women. With color spectrometer, JX-777, we measured 4 points of the body; cheek with removing cosmetics off, forehead, rear neck and arm on the interior part near elbow. All subjects had been shown with 40 color chips and answered the preference colors and preference colors of apparel. Data were analysed to classify skin colors using K-means Cluster Analysis and Duncan test, Frequency and Chi square test on the preference colors about the clustered 3 groups. In doing so, we used in SPSS Win 10 statistical package. Findings were as fellows: 1) The skin colors of the Korean women were clustered into YR, R, and Y skin colors. The majority of the subjects, 324 observations had YR skin colors and the subjects were classified into 3 kinds of skin color groups who had YR skin colors. 2) The average skin colors of total 324 subjects was 5.23YR 6.49/4.09 in Munsell Color System(MCS), 66.56 in L value, 10.53 in a value, and 20.67 in b value. 3) The average skin color of Type 1 was 7.98YR 6.24/4.14 in MCS, 64.10 in L value, 15.05 in a value, and 24.0 in b value. For Type 2 was 7.30 YR 6.56/3.28 in MCS, 67.24 in L value, 6.89 in a value, and 18.4 in b value, and Type 3 was 7.01 YR 7.20/4.38 in MCS, 73.53 in L value, L 16.04 in a value, and 24.87 in b value. 4) The average face color of total 324 subjects was 7.31YR 6.65/3.56 in MCS, 68.13 in L value, 9.53 in a value, and 20.18 in b value. 5) The average face color of Type 1 was 4.19 YR 6.92/5.05 in MCS, 70.78 in L value, 13.2 in a value, and 25.32 in b value. For Type 2 was 5.24YR 6.33/3.79 in MCS, 64.94 in L value, 9.84 in a value, and 19.08 in b value. Type 3 was 5.4YR 6.85/4.68 in MCS, 70.1 in L value, 11.73 in a value, and 23.92 in b value. 6) The difference of mean values between the clustered 3 skin color groups showed significantly different except the a value of neck and H value of cheeks and H value of foreheads. 7) All 3 groups showed that the most preference colors and the most preference colors of apparel was 5R 4/14. and their preference colors were much more than the preference colors of apparel.

• 한국안광학회지
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• 제8권1호
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• pp.53-57
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• 2003

5분 간격으로 착색시간을 증가시켜 R, G, Y, B칼라렌즈를 제작하였다. 색 좌표 분석은 분광측색계와 CIE $L^*a^*b^*$ color system를 사용하였다. 착색 시간에 따른 색좌표 이동 형태는 $b^*(Y-B)={\beta}a^*+{\alpha}$이며, 거의 선형적으로 변하였다. 적색의 경우 착색시간이 길수록 $G{\rightarrow}R$, $B{\rightarrow}Y$ 형태로 이동하고, Parameter ${\alpha}$, ${\beta}$ 값은 각각 -3.49, 0.90을 얻었다. 녹색의 경우 색좌표 이동은 $R{\rightarrow}G$, $B{\rightarrow}Y$ 형태이다. 10분의 착색 시간에서 가장 순수한 녹색 칼라를 얻었다. Parameter ${\alpha}$, ${\beta}$값은 각각 -0.72, -0.55을 얻었다. 황색과 청색의 경우 모두 착색 시간이 길수록 순수한 색이 된다. 황색에서 Parameter ${\alpha}$, ${\beta}$값은 각각 14.11, 1.58이고, 청색에서 Parameter ${\alpha}$, ${\beta}$값은 각각 -11.62, 1.30을 얻었다.

• 한국의류학회지
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• 제27권11호
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• pp.1338-1349
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• 2003

The color of apparels has the close interdependency on the skin colors of the wearers. This study was carried out to group the skin colors of Korean males into several similar skin colors and to analyze their preference colors. The skin colors were measured quantitatively and classified into several clusters that has similar hue, value and chroma with Munsell color system that is internationally used to communicate the colors. Sample size was 420 Korean males. With color spectrometer, JX-777, 4 points of the body were measured. All subjects had been shown with 40 color chips and answered their preference colors. Data were analysed by K-means Cluster analysis, Duncan test, Frequency and Chi square test using SPSS WIN 10 statistical package. Findings were as follows: 1. The skin colors of Korean males were mixed with skin colors of YR, R, and Y. 2. 420 subjects who have YR color were clustered in 3 kinds of skin color groups. 3. The average face color of total subjects was 4.81YR 5.91/4.97 in Munsell color system, 60.74 in L value, 13.71 in a value, 24.54 in b value. 136 observations out of 420 subjects were composed of Type 1: 4.50YR 6.35/4.87 and 192 observations were composed of Type 2: 4.62YR 5.86/5.12 and 92 observations were composed of Type 3: 5.67YR 5.37/4.79. 4. The average skin color of total 420 subjects was 6.26YR 6.07/4.41 and 62.33 in L value, 10.64 in a value, 23.48 in b value. The average skin color of Type 1 was 6.27YR 6.44/4.27 and of Type 2 was 6.15YR 5.91/4.49 and of Type 3 was 6.49YR 5.84/4.43 respectively. 5. 3 groups showed that the most preference color of sport$.$casual was 2.5Y 8/16 and 7.5PB 4/16 and the most preference color to their skins was 7.5PB 4/16 and 7.5YR 7/16.

• 한국수산과학회지
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• 제42권2호
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• pp.171-178
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• 2009

The purpose of this study was the development of a digital water color measurement system using a CCD optical device. Photographs of the standard medium of Forel and Ule water color scales in the laboratory, and one of sea surface above a Secchi disc (Z=SD/2) immersed in seawater were taken. The colors of these pictures were estimated with the value of CIE $L^*a^*b^*$. Water color assessment was conducted with a digital photo-image. In the case of the Forel scale (No. 1-11), the $b^*$ value was so high that the water color number was large. In the Ule scale (No.11-21), the $a^*$ value became high, which is why the number on the water color scale was large. The color of these pictures showed that the $a^*$ value in the Forel scale and the $b^*$ value in the Ule scale increase with the increase of the F value. The $a^*$ value of seawater color was always lower than the one on the Forel and Ule water color scales. This indicates that the color of the scales differs from actual seawater color. It was concluded that water color number can more effectively be assessed by estimating the ${\Delta}Eab^*$ color difference between the water scales and actual seawater color.

• 공업화학
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• 제21권5호
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• pp.559-563
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• 2010

천연색소를 이용한 컬러의 재현은 현대의 웰빙 생활과 밀접한 연관성을 갖게 된다. 이 연구는 일상생활에서 자주 쓰이는 녹색 계, 황색 계, 그리고 적색 계의 컬러를 자연 상의 녹차, 치자, 흑미를 색소원으로 하여 목표 색을 설정하였다. 목표색의 명도(L), 색 좌표(a, b)의 정량적 수치 값을 지정하고 추출용매의 물성을 조절함으로써 목표 색에 가장 접근하는 색을 추출하여 표현하였다. 색소추출 공정에서 용매의 pH, 추출온도, 추출시간이 변수로 설정되었다. 치자의 경우 추출시간이 길수록 진한색이 추출되었다. 추출색소는 색차계를 이용해 색의 L-a-b좌표를 측정하여 목표 색과 비교하였다. 실험조건을 최적화함으로써 목표 색과 가장 색차 값(${\Delta}E$)이 적은 녹색, 황색, 적색의 CIE 기준 값을 제시하고 이 좌표에 맞는 색을 표현하였다.

• 한국생활과학회지
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• 제15권2호
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• pp.283-292
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• 2006

The purpose of this study is to analyze and compare the color characteristics of preferred summer clothing textiles, such as shirts, blouse, slacks and skirt. 109 male and female college students evaluated the preference to clothing textiles in previous research and top 10 kinds of textiles were chosen for each clothing item. To analyze the color characteristics of preferred textiles, spectral data were measured with spectrophotometer. By the results, color and color tone, value of L, a, b according to clothing item and season were compared. Chromaticity diagram was drawn, too. The results of this study are as following: 1. Color characteristics of shirts textile college student preferred for summer was PB color and p tone. The textile, in general, represented simple color that is close to achromatic color with light and soft shade. 2. The most preferred color of blouse textiles was G color and It, d tone. The color characteristics of blouse textiles represented stronger and more brilliant than those of shirts. 3. For slacks, colors of preferred summer textiles were mostly B, YR color and p, It.g, dk tone. Therefore, preferred textiles for slacks represented simple bluish or brownish color that is close to achromatic color with light or dark shade. 4. The most preferred color of skirt textiles were Y, R color and It tone. Skirt textiles had various colors compared to slacks. 5. College students generally prefer simple cold color that is close to achromatic color, because shirts and slacks have high frequency of wearing. In color tone, light and soft tone were preferred for shirts, and for slacks, they preferred light or dark tone. Comparatively, blouse and skirt which have low frequency of wearing represented various colors which contain more brilliant and stronger toned warm colors. 6. By the result of analyzing L, a, b value, shirts and blouse textiles showed higher L value than those of slacks and skirt. The textiles preferred by college students were generally close to achromatic color, because values of a, b were very low. This was confirmed with the result of chromaticity diagram. 7. In pattern of preferred textiles, solid textile were preferred mostly for shirt, blouse, skirt and slacks, and stripe pattern was preferred secondly.

• Restorative Dentistry and Endodontics
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• 제32권1호
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• pp.19-27
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• 2007

본 연구는 새로운 치과용 색체계 개발을 목적으로 현재 치과에서 사용되고 있는 Vita shade를 사용하는 9 제조사의 12종의 광중합형 복합레진과 1종의 치과용 도재의 색상을 diffuse/$8^{\circ}$ 수광 방식을 사용하는 분광색체계 (MiniScan XE plus, Model 4000S, Hunter Lab, USA)를 이용해 D65 표준광과 10도 관찰자 시야 하에서 CIE $L^*a^*b^*$ 값을 측정하고 색상 범위를 분석하였다. 분석한 정보를 color sorting system을 응용한 CNU Cons Dental Color Chart의 색상 표현 방식인 T###에 치과용 수복 재료들의 범위를 적용하여 다음의 결과를 얻었다. 측정된 $L^*a^*b^*$ 값의 분포를 분석해 보면 $L^*$ 값은 80.40과 52.70 사이에, $a^*$ 값은 10.60과 -3.60 사이에, 그리고 $b^*$ 값은 28.40과 2.21 사이에 분포한다. $L^*$ 값의 평균값은 67.40, 중앙값은 67.30이며, $a^*$ 값은 2.89와 2.91, $b^*$ 값은 14.30과 13.90 이다. 이러한 분석을 토대로 CNU Cons Dental Color Chart의 T###의 첫 번째 숫자에 해당하는 $L^*$ 값의 각 숫자간의 차이는 2.0으로, 그리고 2번째 숫자인 $a^*$ 값의 각 숫자간의 차이는 1, 그리고 세 번째 숫자인 $b^*$ 값의 각 숫자간의 차이는 2로 정하였다. T555에 해당하는 $L^*$ 값의 범위는 66.0이상, 68.0미만으로, $a^*$ 값의 범위는 3이상 4미만으로, $b^*$ 값의 범위는 14이상 16미만으로 결정하였다.

• Food Science and Biotechnology
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• 제17권1호
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• pp.66-71
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• 2008

A total of 284 milled rice (MR) marketed in Korea were analyzed for grading characteristics (head rice, broken kernels, chalky kernels, and damaged kernels%), color characteristics (L-, a-, b-values, and whiteness), protein content (%), and the cooked rice (CR) sensory quality to investigate the key characteristics affecting the overall sensory quality of rice marketed in Korea. Relatively high correlation with the overall sensory quality of the CR was found in color characteristics such b-value of the CR (r=-0.779) and MR (r=-0.545), the a-value of the CR (r=0.513), and the whiteness (r=0.298) of the MR, compared to protein (r=-0.150), and the moisture (r=0.158) contents of the MR and the percentage of head rice (r=0.195). Partial least squares (PLS) regression of the CR b-value with various characteristics of the MR showed that CR b-value was increased with MR b-value effectively, followed by protein content, damaged kernels, chalky kernels, and colored kernels of MR while it was decreased with whiteness and moisture content for the MR.

• 전자공학회논문지 IE
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• 제46권3호
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• pp.12-18
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• 2009

본 논문은 LED 디스플레이 시스템에서 균일하고 부드러운 영상표출을 위하여 각각의 Red, Green, Blue LED의 휘도를 조절하여 흰색보정을 유지할 수 있는 프로세서를 설계하였다. 이 프로세서는 일반적인 LED소자의 특성곡선을 근거로 "a"를 고유특성 값, "b"를 사용시간에 따른 휘도보정 값, "X"를 구동전류 값, "Y"를 휘도 값이라 할 때, "Y=aX+b"로 설정되는 휘도 특성함수에 의하여 각 픽셀의 휘도에 따른 구동 전류 값을 산출하여 휘도를 보정하고, 또한 장시간 사용 시 LED소자의 휘도 저하 문제를 해결하기 위하여 "b"값을 조절하여 LED 디스플레이 시스템의 전체 평균 휘도 값을 상향시킬 수 있도록 구현하였다.

• 한국의상디자인학회지
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• 제19권1호
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• pp.135-145
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• 2017

In order to analysis on color difference of yellow natural dyes, I have dyed cellulose and protein fabrics. The results of experiment have been analysed by wavelength of maximum absorption, amounts of dye uptake, color difference, Hunter's value and Munsell's value. The results from these analyses are as follows : Bud of pagoda tree, Amur cork, and Curcuma showed greenish yellow color, Gardenia Jasminoides showed reddish yellow color. Barberry root showed reddish yellow color with post-mordanting method on cellulose fabric. Moreover, Dupioni silk was dyed in reddish yellow color by Barberry root and Rhubarb. In addition to Chroma index, Gardenia Jasminoides and Curcuma showed clear color overall. However, dyeing rayon and silk by Barberry root, and dyeing silk by Rhubarb showed clear color. Comparing all the results to actual dyed materials, Bud of pagoda tree had small dye uptake, and both ${\Delta}a$ and ${\Delta}b$ value were short which can't recognized the yellow color easily. Dye uptake of Amur cork and Gardenia Jasminoides was small just like Bud of pagoda tree. However, ${\Delta}b$ value order was Gardenia Jasminoides>Amur cork>Bud of pagoda tree. Therefore, Gardenia Jasminoides recognized reddish yellow because of big value of red color and yellow color. In case of Barberry root and Rhubarb which have larger dye uptake, Baberry root recognized yellow color on rayon only, and couldn't recognized yellow color on bleached cotton fabric, ramie, silk, and dupioni silk. Rhubarb recognized yellow color on rayon with pre-mordanting method only, but recognized silk and dupioni silk as brown like color. Moreover, we could not analyze color by dye uptake, Lab, and H(v/c) for Barberry root and Rhubarb. As a result, I think we need to attach color table for the research paper which handled the color of dyeing materials.