• Journal of Korea Multimedia Society
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• v.13 no.4
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• pp.535-546
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• 2010

Digital images have undesired color casts due to various illumination conditions and intrinsic characteristics of cameras. Since the color casts in the images deteriorate performance of color representations, color correction is required for further analysis of images. In this paper, an algorithm for detection and removal of color casts is presented. The proposed algorithm consists of four steps: retrieving similar image using color by correlation, extraction of near neutral color regions, kernel density estimation, and removal of color casts. Ambiguities in near neutral color regions are excluded based on kernel density estimation by the color by correlation algorithm. The method determines whether there are color casts by chromaticity distributions in near neutral color regions, and removes color casts for color constancy. Experimental results suggest that the proposed method outperforms the gray world algorithm and the color by correlation algorithm.

• Journal of Periodontal and Implant Science
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• v.31 no.3
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• pp.501-511
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• 2001

Several indices have been developed that use bleeding and color changes as indicators of early gingival pathology. In the presence of gingivitis, vascular proliferation and reduction of keratinization owing to increase redness in gingiva. Descriptions of healthy gingiva are numerous, ranging from pale pink and coral pink to deep red and violet. This terms are not objective. Because of perception of color depends on a lot of factors such as light source, object, observer and so on. It is difficult to make an objective expression. Therefore the using of mechanical equipment is recommended to exclude these variables and observer's vias. The purpose of this study was to evaluate gingival color change after scaling & subgingival root planing. The other purpose of this study was to research the correlation of pocket depth, P.B.I. score and gingival color change. After photo-taking and storaging the image of gingival color into a computer, color change was examine with an image analysis program. Results were as follow; 1. Color of healed gingiva after scaling & subgingival root planing was significantly differ from color of inflamed gingiva(p<0.01). 2. Color of healed gingiva after scaling was similar to color of healed gingiva after subgingival root planing(p<0.05). 3. There was statistically significant correlation between color change of red component and pocket depth after scaling & subgingival root planing(p<0.01). 4. There was no correlation between color change of green, blue component and pocket depth after scaling & subgingival root planing(p<0.01). 5. There was statistically significant correlation between between color change of red component and P.B.I. score after scaling & subgingival root planing(p<0.01). 6. There was no correlation between color changes of green, blue component and P.B.I. score after scaling & subgingival root planing(p<0.01). 7. Increase of pocket depth and P.B.I. score were significantly correlated to the amount of color change(p<0.01). 8. P.B.I. score had a higher correlation with color change than pocket depth(p<0.01).

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.1
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• pp.10-16
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• 2007

In this paper, we propose a technique for retrieving images using spatial color correlation and texture characteristics based on local fourier transform. In order to retrieve images, two new descriptors are proposed. One is a color descriptor which represents spatial color correlation. The other is a descriptor combining the proposed color descriptor with texture descriptor. Since most of existing color descriptors including color correlogram which represent spatial color correlation considered just color distribution between neighborhood pixels, the structural information of neighborhood pixels is not considered. Therefore, a novel color descriptor which simultaneously represents spatial color distribution and structural information is proposed. The proposed color descriptor represents color distribution of Min-Max color pairs calculating color distance between center pixel and neighborhood pixels in a block with 3x3 size. Also, the structural information which indicates directional difference between minimum color and maximum color is simultaneously considered. Then new color descriptor(min-max color correlation descriptor, MMCCD) containing mean and variance values of each directional difference is generated. While the proposed color descriptor includes by far smaller feature vector over color correlogram, the proposed color descriptor improves 2.5 % ${\sim}$ 13.21% precision rate, compared with color correlogram. In addition, we propose a another descriptor which combines the proposed color descriptor and texture characteristics based on local fourier transform. The combined method reduces size of feature vector as well as shows improved results over existing methods.

• Journal of the Korean Home Economics Association
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• v.31 no.2
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• pp.177-188
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• 1993

To obtain a clear understanding of the degree of effect by the food color in diet habits, this study was a survey of the taste for food color. In this study, the term of investigation was tow months(May and Jun. 1992), the object was 10's∼50's women, and the sampling of them at random contain 100 person, respectively. The data-treatment was determinded by frequency, percentage, SD, Chi-square, Spearman's rank order correlation coefficient, Correlation, F-test as measured by SAS program for PC and statistical figures were obtained by GDAS. The results were as follows; 1. Food color in diet habits. : The relationship of food color with appetite by age group was showed to affect all age groups having more then 90%. The concern for food color by age group showed the lowst teenage having 56.7%, showing more then 70% except teenage. When chosen food, The most important characteristics of food was not age group but taste. In the correlation between characteristics, The correlation between color and form, taste and nutrition was showed affirmative. The difference test for the taste of food color and general color was shown, and the level of significance was chosen at 95%. 2. In the correlation between food color and the sense of emotion, The food color of depression and solitude was purple, the color of sadness and crying was white. But in case of only solitude, A statistical significance was shown. 3. In the investigation of taste for food color, the mean of taste degree was high in red, orange, yellow, yellowish green, green, white and low in blue, black. Their statistical significance was shown between colors but, was not shown between age groups. 4. In the relation of food color and associated with food, the colors of associated with food shown a vast difference with natural food color were blue(85.5%), purple(80.0%), pink(41.7%) and yellow(40.0%) but, A red color was not shown the error rate of associated with food color at all. Almost all kinds of associated with food were fruits and vegetables.

• Journal of the Korean Society of Food Science and Nutrition
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• v.23 no.2
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• pp.274-278
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• 1994

Correlation between pH and color of Kimchi during fermentation was investigated to visually evaluate the fermentation degree of Chinese cabbage Kimchi. Color "a" and 'H" values in the white part, "a", "H" and "C" values in the green part of the Kimchi showed a high correlation with pH, respectively. "a" and "H" values of Kimchi juice. "L" and "V" values of red pepper attached to kimchi had a high correlation with pH. The color of the white part was light greenish white in unripended Kimchi, but changed to redish in ripended kimchi. Green part changed from light green to redish green as ripening. Red pepper powder attached to kimchi showed redish color in unripening, but changed to yellowish re din over ripening.

• Journal of the Korean Society of Clothing and Textiles
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• v.11 no.1
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• pp.29-42
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• 1987

This study was an attempt to survey, the relationships between women's values and preference in clothing design. For the measurement of values scale was to relect the theoretical, economic aesthetic, social. political and religious values explained by Allport-vernon- Lindzey. The preference rate in clothing design consisted of 50 items and 3 factors including color, form and texture. The questionnaire were administered to a sample of women (between college students and adult) who lined in Seoul, Korea. The date for 910 respondents were analyzed by person's carrelation coefficient, to-test and $x^2$ test. Through this study, the followings were founds; 1. Aesthetic value was the mast important of female college students values and economic value was the most important of adult's values. 2. There were significant relation between values and the preference for clothing form in line and style; 1) In line preference, adult women indicated negative correlation with religious values but positive correlation with aesthetic and political values. 2) In style preference, adult women indicated negative correlation with economic values positive correlation with social values, for female college students indicated positive correlation with aesthetic social and political values. 3. There were significant relation between values and preference for texture in touch, thickness, weight, light and luster; 1) In relationship between texture and values, adult women indicated touchness preference negative correlation with theoretical and religious values, for female college students indicated positive correlation with aesthetic and social values. 2) In thickness preference adult women indicated negative correlation with theoretical values but female college students indicated positive correlation with political values. 3) In weight preference, adult women indicated negative correlation with theoretical values. But female college students indicated positive correlation with religious values. 4) In brightness preference, only adult women indicated positive correlation with social values, negative correlation with economic values. In transparency preference, adult women indicated positive correlation with aesthetic values, negative correlation with religious values. 4. There were significant correlation among color and economic, aesthetic; political and religious values, that is, evacuation and economic political values in adult women there were positive correlation with religious values in female students. 1) In chroma only adult women indicated negative correlation with religious values. In warm and cold, positive correlation with economic values in both of them. 2) In coloration, adult women like a complement color indicated negative correlation with aesthetic values, but positive correlation with political values. 5. There were significant differences in the preference of clothing design between female college students and adult women; correlationship with color variables. Evacuation, both of them indicated negative correlation with chroma positive correlation with warm and cold and coloration. In chroma, adult women indicated negative correlation with coloration and warm and cold, for female students indicated negative correlation with coloration. 6. Comparison with clothing preference: 1) In color preference, adult women liked the most white, brown, blue and black in sequence. Female college students liked the most white, also the next is blue and pink. 2) Clothing design preference, there was significant difference in warm and cold and coloration, adult women more liked than female students. In shape of clothing, both of them indicated significant difference in line and style, female students more liked sporty style. In texture, adult women more liked soft thin light weight and bright. 3) In silhouette preference, the most is H-line, female college students more liked.

• Archives of design research
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• no.16
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• pp.77-86
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• 1996

fhe purpose of lhlS study was to inves,igate ,he color preference of pees among Korean and Japanese Lnrversity students groups. Looking at a color chart contammg (is colored chips arranged sequentlally by hue and tone. the subjects from two countries were asked to choose their five most hlghly preferred colors and five least preferred colors. The data was classifed by hues and tones and then both sexes. The results were analyzed by comparison of the general orders of preference, and comparison of the selected colors by hues and tones and both sexes. The correlation of color preference in two countries was also studled uSlng Pearson's product moment correlatlOn cod ficren t. The results of this study were summaried as follows: 1. The most preferred color in two countries was vivid blue, and the least preferred color in two countries was grayish brown. 2. The most prefered hues in each countries were purple blue in Korea and blue in Japan. The least preferred hue in two countries was yellow red. 3. The most preferred tone in two countries was vivid and least preferred tone in two countries was grayish. 4. The correlation of the color preference between two countries was studied usmg Pearson's product moment correlation coefflCient for both hues and tones. I, indicated strong correlation in tones than in hues.

• The Korean Journal of Food And Nutrition
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• v.11 no.2
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• pp.221-227
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• 1998

This study was investigate correlation of moisture content, relative humidity, pH, color difference, myoglobin(Myo), oxymyoglobin(Oxy) and metmyoglobin(Met). The moisture content, relative humidity of loin and shank were not changed uniformly during storage, the pH was raised according to storage period. The L value was raised at the closing stage of the storage period, the surface of the b value was higher than interior. Between Myo and Met were positive correlation in common with loin and shank. The surface and interior of loin were negative correlation between Oxy and Met, the surface and interior shank were positive correlation between Myo and L value and were negative correlation between Myo and Oxy. The moisture content, relative humidity, pH and color was not correlation uniformly.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.9-11
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• 2005

We propose a new content-based image retrieval using a block color co-occurrence matrix (BCCM) and pattern correlogram. In the proposed method, the color feature vectors are extracted by using BCCM that represents the probability of the co-occurrence of two mean colors within blocks. Also the pattern feature vectors are extracted by using pattern correlogram which is combined with spatial correlation of pattern. In the proposed pattern correlogram method. after block-divided image is classified into 48 patterns with respect to the change of the RGB color of the image, joint probability between the same pattern from the surrounding blocks existing at the fixed distance and the center pattern is calculated. Experimental results show that the proposed method can outperform the conventional methods as regards the precision and the size of the feature vector dimension.

• Journal of Broadcast Engineering
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• v.16 no.6
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• pp.962-968
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• 2011

The conventional lossless compression of color images is to apply a compression method to each of color components separately, without considering the channel correlation. There had been several methods that consider the channel correlation, but they were confined to the compression of satellite or aerial images only, and the performance of these algorithms to general photos is not satisfactory. This paper proposes a new lossless color image compression method that exploits the correlation between the color components. Specifically, asymmetric sampling is applied to transform an image into mosaic image and the rest, which are compressed separately. By using the information from the compressed mosaic image, the rest images are predicted for further reducing the information to be compressed. Experimental results show that the proposed method improves the compression performance by 35% over the conventional separate compression methods and 10% over the existing methods that exploit the channel correlation.