• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.3A
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• pp.276-283
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• 2002

This paper proposes a new color constancy algorithm using the maximum luminance surface. This method uses a linear model which represents the characteristics of human visual system. The most important process of linear model is the estimation of the spectral distributions of illumination from an input image. To estimate of the spectral distributions of illumination from an input image, we first estimate spectral distribution functions of reflected light on the brightest surface. Then, we estimate surface reflectance functions corresponding to the maximum luminance surface using a principal component analysis of the given munsell chips. We finally estimate the spectral distributions of illumination in an image. Using an estimated illumination, we recover an image by scaling it regularly for the lightness calibration. From the experimental results, the proposed method was effective in recovering the color images compared with others.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.43 no.1
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• pp.36-46
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• 2011

The purpose of this study was to manufacture colored Hanji for interior materials by combining color therapy and natural dyeing. To manufacture colored Changhoji for interior materials, seven species of dyestuff were selected as a results of preliminary natural dyeing. As mordants, 0.5% $AlK(SO_4)_2{\cdot}12H_20$ and 0.5% $Cu(CH_3COO)_2{\cdot}H_2O$ solution were used respectively. To estimate natural dyeing properties of Changhoji, the value of $L^*,\;a^*,\;b^*$ and Munsell HV/C were measured by spectrophotometer. The super eight colors produced as follows; red from safflower, orang from goldthread and gardenia, yellow from turmeric, green and turquoise from indigo and pagoda tree flower, violet and magenta from sappanwood, and blue from indigo.

• Textile Coloration and Finishing
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• v.6 no.1
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• pp.8-18
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• 1994

In one bath dyeing system of silk/cellulose acetate fiber blend fabric with acid /disperse dyes, adsorption behavior of acid dyes and disperse dyes on silk and cellulose acetate fabrics were examined. In the dyeing of cellulose acetate with C. I. Disperse Red 19(Red 19) and C. I. Disperse Red 60(Red 60) at 8$0^{\circ}C$ and 10$0^{\circ}C$, dye uptake with Red 19 was higher than that with Red 60. When the silk/cellulose acetate dyed with Red 19 and Red 60 at 10$0^{\circ}C$, dye uptake on cellulose acetate was influenced by affinity of the dye to the silk fabric dyed together. When the silk/cellulose acetate dyed with Blue 80/Red 19 and Blue 80/Red 60 at 10$0^{\circ}C$, color of cellulose acetate dyed with Red 19 and Red 60 was not influenced by Blue 80 but silk dyed with Blue 80 was influenced by Red 19 and Red 60. Interrelation of K/S value and Munsell value was scarcely any but showed the change tendency of K/S value.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.93-99
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• 2009

The color harmony in video was no way to know for giving pleasure. By identifying these color harmony, it gives order, clarity, similarity, contrast, etc. Therefore, to identify the color balance is very important. Color Harmony identify the color is whether the harmony by color harmony theory of Munsell, Ostwald, Firren, Moon & Spenser, Itten, Chevreul, and Judd etc. One of these methods, we identify color harmonies of 2 colors, 3 colors, 4 colors, 5 colors and 6 colors using Itten's color balance. Identification is using by Canny edge extraction, labeling and clustering, and color extraction and harmony etc. By identifying this color harmonies, we have laid the foundation of emotional database construction and emotional recognition.

• Restorative Dentistry and Endodontics
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• v.48 no.4
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• pp.40.1-40.8
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• 2023

Objectives: The purpose of this study was to evaluate the influence of eye dominance on color perception, and shade matching. Materials and Methods: A total of 104 participants were selected for the study. There were 3 groups: Group I: 3rd and 4th year dental students and interns (n = 40); Group II: postgraduates (n = 34); Group III: senior residents and faculty members (≥ 6 years of clinical experience) (n = 30). All participants were evaluated for congenital color blindness with Ishihara plates, their dominant eye with Mile's test, and their color perception with the Farnsworth-Munsell 100 hue test. The shade guide test was used for shade matching with a second corresponding set of Vitapan classical shade guides. Results: The results of Mile's test revealed that 60.6% were right-eye dominant and 39.4% were left-eye dominant. There was a statistically significant difference among all participants between the dominant eye and the non-dominant eye in shade matching. Conclusions: The dominant eye has a positive effect on shade matching and the ability to match shades becomes better with an increase in clinical experience.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.3
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• pp.543-562
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• 2024

This study used persimmon juice, shuliang, and mud to develop the color of hanji fabrics. Persimmon juice and shuliang were used to perform single and mixing dyeing with heat treatment using the pad-dry-cure (PDC) method. Next, mud dyeing was performed, and the hanji fabrics dyed with persimmon juice and shuliang were developed into Yellow Red (YR) Munsell colors with very low values and chroma. Through scanning electron microscopy, the persimmon juice and shuliang were observed to be evenly treated on the hanji fabrics using the PDC method. Furthermore, the presence of iron ions in the dyed fabrics was confirmed using inductively coupled plasma-mass spectrometry analysis. The stiffness of the fabrics dyed with persimmon juice was the greatest, while it gradually decreased for the fabrics treated with mixing and mud dyeing. With mixing dyeing, the colorfastness to washing improved to grade 4, whereas with mud dyeing, the colorfastness to alkaline sweat greatly improved to grade 4~4-5. Based on these findings, this study confirmed that it is possible to develop hanji fabrics with differentiated textures and colors while ensuring practical colorfastness through mixing and mud dyeing.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.7 s.144
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• pp.978-986
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• 2005

The color of apparel products have a close relationship with the face skin colors of consumers. In order to extract the favorable colors which flatter to consumer's face skin colors, this study was carried our to classify the face skin colors of Korean females. The criteria that select new subjects who have the classified face skin colors have to be decided. With color spectrometer, JX-777, face skin colors of subjects were measured and classified into three clusters that had similar hue, value and chroma with Munsell Color System. Sample size was 324 Korean females and other new 10 college girls. Data were analyzed by K-means cluster analysis, ANOVA, Duncan multiple range test, Stepwise discriminant analysis using SPSS Win. 12. Findings were as follows: 1. 324 subjects who have YR colors were clustered into 3 face skin color groups. 2. Discriminant variables of face skin colors were 5 variables : b value of cheek, V value of forehead, L value of cheek, C value of forehead and H value of cheek by the standardized canonical discriminant function coefficient 1. 3. Hit ratio of type 1 was $96.8\%$, of type 2 was $94.9\%$, of type 3 was $100.0\%$ and mean of hit ratio was $96.9\%$ by canonical discriminant function of 5 variables. 4. With the unstandardized canonical discriminant function coefficient and constant, canonical discriminant function equation 1 and 2 were calculated. And cutting score and range of score of the classified types were computed. The criteria that select the new subjects were decided.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.7 s.144
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• pp.959-967
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• 2005

The color of apparels has the interaction of the face skin colors of the wearers. This study was carried out to classify the face skin colors of Korean males into several similar face skin colors in order to extract favorable colors which flatter to their face skin colors. The criterion that select the new subjects who have the classified face skin colors have to be decided. With color spectrometer, JX-777, face skin colors of subjects were measured quantitatively and classified into three clusters that had similar hue, value and chroma with Munsell Color System. Sample size was 418 Korean males and other 15 of new males subjects. Data were analyzed by K-means cluster analysis, ANOVA, Duncan multiple range test, Stepwise discriminant analysis using SPSS Win. 12. Findings were as follows: 1. 418 subjects who have YR colors were clustered into 3 kinds of face skin color groups. 2. Discriminant variables of face skin colors was 4 variables : L value of forehead, v value of cheek, c value of forehead, and b value of cheek from standardized canonical discriminant function coefficient 1 and c value of forehead, L value of forehead, b value of cheek. and L value of cheek from standardized canonical discriminant function coefficient 2. 3. Hit ratio of type 1 was $92.3\%$, of type 2 was $96.5\%$ and of type 3 was $92.6\%$ by the canonical discriminant function of 4 variables. 4. The canonical discriminant function equation 1 and 2 were calculated with the unstandardized canonical discriminant function coefficient and constant, the cutting score, and range of the score were computed. 5. The criterion that select the new subjects who have the classified face skin colors was decided.

• Journal of the Korean Institute of Telematics and Electronics T
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• v.35T no.2
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• pp.20-27
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• 1998

This paper describes color clustering method based on color difference in the uniform Munsell color space obtained from hue, saturation, and value. The proposed method operates in the uniform HSV color space which is approximated using ${L^*}{a^*}{b^*}$ coordinate system based on the RGB inputs. A clustering and color difference evaluation are proposed by thresholding NBS unit which is likely to Balinkin color difference equation. Region segmentation and isolation process are carried out ISO DATA algorithm which is a self iterative clustering technique. Through the clustering of 2 input images according to the threshold value, satisfactory results are obtained. So, in conclusion, it is possible to extract result of better region segmentation using human color perception of the objects.

• Asian-Australasian Journal of Animal Sciences
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• v.23 no.4
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• pp.444-449
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• 2010

The aim of this study was to measure the hair melanins of various colors and to find the relationship between the quantity of melanins and hair color phenotypes in alpacas. According to the Munsell color system, 3 healthy alpacas were selected for each of the 22 different hair color phenotypes (66 alpacas altogether). Alpaca hair was taken from the lateral thoracic region and then dissolved with different solutions to obtain melanins. The values of alkali-soluble melanins (ASM), eumelanin (EM) and pheomelanin (PM) were measured by spectrophotometric assay, and labeled as Sp.ASM, Sp.EM and Sp.PM, respectively. Data were analyzed using SPSS11.5 software. Results showed that average Sp.ASM and Sp.PM were increased as the color deepened from white to black, ranging from 0.500 to 4.543 for Sp.ASM and from 0.268 to 1.457 for Sp.EM. However, average Sp.PM had no such apparent relationship with color. Based on the value of Sp.ASM and EM, 7 hues were produced and gray was a single hue. Most of the data were in a normal distribution (p>0.10). ANOVA analysis showed that mean values of Sp.ASM, Sp.EM and Sp.PM were significantly different (p<0.05). The results also showed that Sp.ASM was positively correlated with Sp.EM but the correlation between Sp.ASM and Sp.PM was not significantly different from 0. It is concluded that EM is the major constituent of alpaca hair melanin; there is a significant correlation among ASM, EM and alpaca hair colors, and EM is the most reliable parameter for distinguishing these groups.