• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.2
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• pp.1-10
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• 2010

There have been studied with activity about color standard due to extention of digital contents' application area. Therefore the studies in relation to the standard are needed to represent image's feature as color. Also the methods to extract color's feature to be apt to various application are needed. In this paper, we set the base color as 50 colors from Munsell color system, get the color histogram to show the characteristics of colors's distribution of a image, and propose the method to extract representative colors from the histogram. Firstly, we convert a input image of RGB color space to a image of HSI color space and split the image into hue area and non-hue area. To split hue area and non-hue area, we use a fixed threshold and a perception-function of color area function to reflect the subjective vision of human-being. We compute histograms from each area and then make a total histogram from the histogram of hue area and the histogram of hue area, and extract the representative colors from the histogram. To evaluate the proposed method, we made 18 test images, applied conventional methods and proposed method to them Also the methods are applied to public images and the results are analyzed. The proposed method represents well the characteristics of the colors' distribution of images and piles up colors' frequency to representative colors. Therefore the representative colors can be applied to various applications

• Korean journal of applied entomology
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• v.25 no.1 s.66
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• pp.47-51
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• 1986

A study was undertaken to investigate the distribution of Streptomyces spp. in soil in Korea. Among the different types of soil surveyed, the highest population of Streptomyces spp. recording $5.6{\times}10^5\;CFU/g$ was observed in upland soil. With reference to the soil depth, most of their population was distributed from soil surface to 5cm depth and the highest value was found in $0{\sim}2cm$ soil depth. Comparing the population of Streptomyces spp. with different soil color (by Munsell soil color chart), the highest value of $9.2{\times}10^\;CFU/g$ was showed in Oliver yellow soil (2.5Y, 6/4). On the basis of the acidity of soil samples subjected to Streptomyces spp. isolation, it is considered that the optimum pH range for Streptomyces spp. in soil lies between 6.0 to 7.5, showing the highest value of $1.05{\times}10^6CFU/g$ at pH 7.5. Among the colors of isolated colonies, gray and white colonies occupied 60% and 26% of the total isolates respectively.

• Journal of the Korean Institute of Landscape Architecture
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• v.14 no.2
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• pp.69-80
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• 1986

In order to analyse the color preference quantitatively, specially with reference to the subjects in the age of twenties, 100 subjects(M=50, F=50) that unconsidered other factors were adopted and responded to 4 items of the questionaire. The item no. 1 was to investigate the most prefered color on the white background, no. 2 was to most preferred stimulation -level of lightness in the same hues, no. 3 was to most prefered color on 5 different backgrounds -grey, blue, pink, yellow, and yellow green-, and no. 4 was same as no. 3 but with different color-arrangement Materials for item 1 and 3 were made with transparent acryl-boards(30cm$\times$30cm), on which 16 color chips arranged on circle, for item 4 on lattice, and for item 2 with 16 white boards(8cm$\times$21cm), on which 7 color chips of different lightness-level arranged. Reflectance(Y) and color coordinate(x, y) of all color chips measured with color difference meter were transfered into wavelength(nm), exitation purity(%), and Munsell's value. The results may be summarized as follows: 1) Most prefered color was bluish green with wave1ength about 500nm. As increasing of exitation purity of color, more prefered. 2) When there were 7 different levels of lightness in the same hues, the relationship between the number of preference and the stimulation was inverted U-shaped. 3) With changing the background -color, the prefered colors were contrasting when backgrounds were low or high intensity-stimulation and familiar colors when backgrounds were medium intensity.

• Archives of design research
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• v.12 no.4
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• pp.317-326
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• 1999

The Korean traditional color passed down over countless generations has surpassed both surpassed both time and space and continue today to breathe life into its people's everyday. In order to clarify the characteristics of Korean traditional color blue and red, we investigate the names of them and measured the color tones of textile remains in Chosun era. The characteristics of Korean traditional color blue and red have been surveyed by means of the examination of color names in many famous literatures in Chosun era. Korean terms for color tones were characterized by enormous variety of epithes crowned on them. The color names mentioned contain many unaccountable epithes which were characterized also deep colors and light colors were dominant in it. As a means of enhancing possibilities within limited colors, the commoners increased the names for varying tones of blue color group(32kinds) and red color group(40kinds). These "blue(indigo dyeing)' and 'red(safflower dyeing)' in Chosun era were shown very high frequency in use and the costume colors in Royal Court. With combination of these various blue and red colors they represented a thought of color based on Yinyang Theory and created a polished aesthetic taste. The color samples of textile remains in museum were measured and designated by Munsell color system and the ISCC-NBS color designation system. THe appeared rates were derived on Chosun era and features of colors using on the period were discussed. We aim to present specific recipes in indigo dyeing and safflower dyeing for using our apparel product and folk art.

• Journal of agriculture & life science
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• v.46 no.5
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• pp.37-45
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• 2012

This study was carried out to examine the optimal treatment conditions of ethanol and glycerine for processing technology development of preserved flowers in carnation (Dianthus caryophyllus) 'Desio' commonly used for flower design. For this purpose, effects of dipping duration of ethanol solution and treatment duration and concentration of glycerine on preserved flower quality were evaluated. Ethanol treatment resulted in perfect dehydration and decoloration of petals and it was proper at 24~48 hours under high brightness and low chroma. Appropriate concentration and time of glycerine treatment was 30% at 36 hours because it resulted in Munsell value of 4.0R in Hue, 6.49 in Value, and 19.8 in Chroma (4.0R 6.49/14) representing the most approximate value to that of fresh petals. Decreasing rate in weight after desiccation tended to reduce by longer time of immersing and higher concentration. Weight after 12 hours of immersing reduced up to 86~90% according to treatment time in non-treatment group of glycerin, meanwhile, it reduced up to 51~69% under higher concentration of 40%. However, weight after 48 hours of immersing reduced up to 90% regardless of desiccation time in non-treatment group of glycerine, to the contrary, decreasing rate reduced by 46~54% through glycerine treatment of 40%. Time for desiccation required 24 hours in glycerin concentration of 10~20% except 6 hours of immersing time, however, higher concentration resulted in increased time up to 48 hours.

• Korean journal of food and cookery science
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• v.8 no.4
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• pp.387-396
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• 1992

This study was conducted to examine the favorable taste of food color for one month of November 1991 With 200 college students consisting 100 male and 100 female students. The color to examine the favorable food was based on Munsell color standard of ten colors such as F. Birren seven colors (red, orange, yellow, yellowish green, green, blue and violet), brown, pink and black. And then, the data of this study was analysed by using frequency(%), mean values, standard deviation, t-test, Chi-square, Spearman correction with SAS Package on the basis of 100% collection and reliable coefficient alpha= .775. The result of this study is summarized as follows. 1. It was shown that the male college students (59%) showed remarkable interest in the food color higher than that of female college students (92%), and that 85% of male students and 97% of female students considered that the food color has an effect on appetite. In addition, the food name having an effect of the food color on appetite appeared in such order as carrot (13.0%), apple (10.9%), spinach (7.0%), cucumber (6.0%) and red pepper (5.6%). The important factor in choosing the favorable food was the taste for both male and female college students, while the male and female students considered the food color as the 4th, respectively, and the 3rd important factor in choosing the favorable food. 2. The favorable food color appeared in order such as orange, red, yellow, yellowish green, green, blue, violet, pink, black and brown colors for the male college students, and in order such as red, orange, yellow, green, yellowish green, brown, violet, black, pink and blue. Also, there was difference between the male and female college students in such colors as brown, yellowish green, blue and pink. It was also shown that there was no relation between the male and female college students in examining the order of favorable food colors and general colors when selecting null hypothesis (ASE: .405). The food name associated with the color was apple for red color, orange for orange color, coffee for brown color, banana for yellow color, lettuce for yellowish green color, spinach for green color, mackerel for blue color, eggplant for violet color, sausage for pink color and bean for black color 3. The favorable color combination of both male and female college students showed red with green, orange with yellow, yellow with green, green with yellow, pink with violet and black with black. In addition, the favorable combination of the male college students indicated brown with black, yellowish green with orange, blue with red and violet with yellow while the female college students did brown with yellow, yellowish green with green, blue with yellow and violet with pink. The favorable combination color showing difference between the male and female college students included orange, brown, violet, pink and black colors. 4. The relation between the food color and terms of favorable taste showed that “light and mild color” is yellow, that “untasty color” is black, that “sourish and puckery color” is orange, that “bitter color” is violet, that “hot color” is red, and that “fresh color” is green which were answered by both male and female college students. However, the male and female college students considered yellow, respectively, and orange as “tasty color”, and black and yellow, respectively, as “sweet color”. Then, the taste term showing difference between male and female college students included “light”, “mild”, “sourish”, “tasty” and “sweet”. Based on the above result of this study, it is apparent that there is a close relation between the food color and appetite while being difference between the general color and taste. In addition to this fact, there is also some differences between male and female college students in the taste of food color.

• Archives of design research
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• v.18 no.4 s.62
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• pp.73-84
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• 2005

The purpose of this study is to analyze the interior color characteristics of elderly housing facilities in Korea. For this purpose, a filed survey was conducted between October 16 and October 25, 2003, visiting 10 elderly housing facilities. A three step analysis of the facilities was involved. First, floor, walls, ceiling, base boards and doors in common spaces were examined for the color scheme using the 'Pantone for Fashion and Home Color Guide' for each room. Measured Pantone numbers were converted to RGB color using 'Chooser 3.0 of Pantone, Inc.' Finally, the conversions were recorded as Munsell numbers. The results are as follows. First, the brightness used in elderly housing facilities ranges from high value to low value while the chroma ranges from the middle chroma to low chroma. The warm colors of Y and YR are mainly used, followed by GY and R. Second, the colors used for elderly housing facilities are found inter-related. For example, the main color in the lobby is also used for corridor and used again in dining room, library, and treatment room. Third, in terms of the color scheme, it is best help the elderly, who generally have lower recognition capability, by highlighting the distinction and attention by using the dearly distinctive accent color for the transition space, edge of the hallways or in front of the door to the units and having different color for each floor. But in most facilities except one or two, this consideration is ignored. Fourth, there is difference in color selection between elderly housing with low and high rental value. Only one facility, the most high priced one, has aggressive color arrangement, and the others show very little consideration of the elderly's needs.

• Journal of Soil and Groundwater Environment
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• v.13 no.4
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• pp.22-29
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• 2008

To understand environmental characteristics and contamination assessment of the Namsan Park soil in Seoul, we divided the Namsan map into 33 sectors and sampled mixed soil in depth 0${\sim}$15 cm, in 5${\sim}$10 points at the sites. We analyzed soil samples collected at 21 sectors twice on May and September. The results were as follows. The hue color ranges of the Namsan soil were 2.5YR${\sim}$10YR, the value ranges were 1${\sim}$4, the water rates were 3.1${\sim}$22.3 and the Ignition losses were 3.4${\sim}$10.4%. The average concentration of Cu and Pb were determined 3.374 and 15.000 mg/kg, Cd and As showed very low level. The mean concentrations of Zn and Ni were showed 103.290 and 11.649 mg/kg and this amount is not different from the nationalwide mean in 2005. The mean pH showed 5.41. The Zn, Ni and Cd in the soil of the circular road of Namsan showed 1.33, 1.48, 1.46 times higher than the other sector of the Namsan soil. The corelation coefficient between water rate and ignition loss were 0.720 and the correlation coefficient between Cu and Pb, Cu and Zn showed 0.827, 0.694 respectively. There was weak corelationship between pH and Zn. The Uniformity coefficient (Uc) of all the survey sites was determined below 5 in the range of 1.5${\sim}$4.4.

• Trans-
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• v.12
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• pp.51-79
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• 2022

This study investigates the methods for deriving colors which can serve as a reference to users such as designers and or contents creators who search for online images from the web portal sites using specific words for color planning and more. Two experiments were conducted in order to accomplish this. Digital scenery photos within the geographic scope of Korea were downloaded from web portal sites, and those photos were studied to find out what colors were used to describe daytime and nighttime. Machine learning was used as the study methodology to classify colors in daytime and nighttime, and KSCA was used to derive the color frequency of daytime and nighttime photos and to compare and analyze the two results. The results of classifying the colors of daytime and nighttime photos using machine learning show that, when classifying the colors by 51~100%, the area of daytime colors was approximately 2.45 times greater than that of nighttime colors. The colors of the daytime class were distributed by brightness with white as its center, while that of the nighttime class was distributed with black as its center. Colors that accounted for over 70% of the daytime class were 647, those over 70% of the nighttime class were 252, and the rest (31-69%) were 101. The number of colors in the middle area was low, while other colors were classified relatively clearly into day and night. The resulting color distributions in the daytime and nighttime classes were able to provide the borderline color values of the two classes that are classified by brightness. As a result of analyzing the frequency of digital photos using KSCA, colors around yellow were expressed in generally bright daytime photos, while colors around blue value were expressed in dark night photos. For frequency of daytime photos, colors on the upper 40% had low chroma, almost being achromatic. Also, colors that are close to white and black showed the highest frequency, indicating a large difference in brightness. Meanwhile, for colors with frequency from top 5 to 10, yellow green was expressed darkly, and navy blue was expressed brightly, partially composing a complex harmony. When examining the color band, various colors, brightness, and chroma including light blue, achromatic colors, and warm colors were shown, failing to compose a generally harmonious arrangement of colors. For the frequency of nighttime photos, colors in approximately the upper 50% are dark colors with a brightness value of 2 (Munsell signal). In comparison, the brightness of middle frequency (50-80%) is relatively higher (brightness values of 3-4), and the brightness difference of various colors was large in the lower 20%. Colors that are not cool colors could be found intermittently in the lower 8% of frequency. When examining the color band, there was a general harmonious arrangement of colors centered on navy blue. As the results of conducting the experiment using two methods in this study, machine learning could classify colors into two or more classes, and could evaluate how close an image was with certain colors to a certain class. This method cannot be used if an image cannot be classified into a certain class. The result of such color distribution would serve as a reference when determining how close a certain color is to one of the two classes when the color is used as a dominant color in the base or background color of a certain design. Also, when dividing the analyzed images into several classes, even colors that have not been used in the analyzed image can be determined to find out how close they are to a certain class according to the color distribution properties of each class. Nevertheless, the results cannot be used to find out whether a specific color was used in the class and by how much it was used. To investigate such an issue, frequency analysis was conducted using KSCA. The color frequency could be measured within the range of images used in the experiment. The resulting values of color distribution and frequency from this study would serve as references for color planning of digital design regarding natural scenery in the geographic scope of Korea. Also, the two experiments are meaningful attempts for searching the methods for deriving colors that can be a useful reference among numerous images for content creator users of the relevant field.