• Journal of the Korean Society of Clothing and Textiles
• /
• v.22 no.5
• /
• pp.607-616
• /
• 1998

The purpose of this study was to develope a practical color range for the fashion industry in Korea. 3623 color sample used by 109 brands from'93 spring/summer to'96 spring/summer were collected. Also, the application frequency and consumer responses of each collected colorwere analyzed in this study. To clarify the characterstics of color range used in the fashion industry, density of color was etermined by color clustering based on A: and consumer responses. The resultsof this study were as follow; 1. The result analyzed based on the Munsell System revealed that the distributions of hue were concentrated in R, YR, Y, and PB. The chroma was concenturated mostly in the low range and the value, on the contrary, showed relatively even distribution. 2. 458 representative colors were selected by color clustering based on the toEless than 1. 0. In addition, the frequency of color applications and consumer responses were also considered when selecting the colors frequently used in the fashion industry and finals, 1163 colors wereobtained. The color range of the representative colors showed similar color characteristics with the 3623 colors supplied by the fashion industry. As a results, this approach was proven to appropriate to develope a color range for a practical use. 3. In conclusion, around 1200 colors were suggested to organize the color range to reflect the characteristics of the fashion industry with an acceptable color differance for color planning and management.

• The Journal of the Society of Korean Medicine Diagnostics
• /
• v.17 no.3
• /
• pp.215-223
• /
• 2013

Objectives Although tongue diagnosis is one of major diagnostic methods in east Asian traditional medicine, the standard of normal tongue color have not established. So we tried to suggest the method to establish the standard of normal tongue color range and the pilot data about the normal range. Materials and methods: 22 precedent study papers that presented the numerical data of normal (light red) tongue color were analyzed. At the same time, 46 adult people tongue color data were also collected and analyzed. Results Precedent studies showed remarkable fluctuations of the range of normal tongue color. Collected tongue color data of the 46 people showed mean Hue value 2 and standard deviation 14 in HSB system. Additionally, 3 ways of standard establishment for normal tongue color were suggested. Conclusion We suggest statistical method as a reasonable method for tongue color standard establishment and $2{\pm}14$ as a reference Hue value for normal tongue color.

• Agricultural and Biosystems Engineering
• /
• v.3 no.1
• /
• pp.35-43
• /
• 2002

The spectral color resolution of an image is very important in color image analysis. Two factors influencing the spectral color resolution of an image are illumination intensity and lens aperture for a selected vision system. An optimal combination of illumination intensity and lens aperture for color image analysis was determined in the study. The method was based on a model of dynamic range defined as the absolute difference between digital values of selected foreground and background color in the image. The role of illumination intensity in machine vision was also described and a computer program for simulating the optimal combination of two factors was implemented for verifying the related algorithm. It was possible to estimate the non-saturating range of the illumination intensity (input voltage in the study) and the lens aperture by using a model of dynamic range. The method provided an optimal combination of the illumination intensity and the lens aperture, maximizing the color resolution between colors of interest in color analysis, and the estimated color resolution at the combination for a given vision system configuration.

• Proceedings of the IEEK Conference
• /
• 2003.07e
• /
• pp.2331-2334
• /
• 2003

Generally, skin color information has been widely used at the face region extraction step of the face region recognition process. But many experimental results show that they are very sensitive to the given threshold range which is used to extract the face regions at the input image. In this paper, we propose a face region extraction algorithm based on an adaptive range decision for skin color. First we extract the pixels which are regarded as the candidate skin color pixels by using the given range for skin color extraction. Then, the ratio between the total pixels and the extracted pixels is calculated. According to the ratio, we adaptively decide the range of the skin color and extract face region. From the experiment results for the various images, the proposed algorithm shows more accurate results than the conventional algorithm.

• Journal of the Korean Society of Costume
• /
• v.50 no.4
• /
• pp.53-61
• /
• 2000

The purpose of this study is to classify the characteristics of color communication tools and the color range applied in the Korean fashion industry. To collect the color sample and related references, a questionnaire was distributed during the time period, December, 1995 to June, 1996. From the responses, 2641 color samples used by 109 domestic brands, from 1993 spring/summer to 1996 spring/summer, were collected and analyzed. The data was measured by L*a*b*, and the H V/C formula found in the Munsell notation was used to calculate the data. To classify the color range served for the fashion industry, the distribution of colors are analyzed by difference of season and fabric. The results of this study are as follows : 1. Dominant colors in the Korean fashion industry are Red, Yellow-red, Yellow, purple-blue and low chromatic range colors. 2. While high value colors, such as pale, light greyish, light, dull, dark and vivid tone colors, are dominant in the spring/summer season, low value colors, such as greyish, dark greyish. and deep tone colors and warm colors such as Red, Yellow-red, are prevalent in the fall/winter season. 3. The number of colors commonly used for color planning is less than 20 colors, and both hue and tone are considered important when making color selections. 4. All brands take consumers' color preferences into consideration for color planning, and most of them also take color trends into account. 5. Hue and tone color characteristics analyzed by types of fabrics show more seasonal influence than the fabric itself.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.25 no.3
• /
• pp.9-15
• /
• 2002

Due to the inconsiderateness of human capability and inappropriate arrangement of display and control unit at the industrial site, the human error leads to a various accidents. This study was performed to investigate the visual range at the eye field and stationary field at the various angles with three different visual stimuli of alphabetic character, color slip and light-emitting diode. Three kinds of various alphabetic characters depending on length and breadth ratio (1:1, 3:5, 5:3) and three different colors (red, yellow, green) were used for the stimuli. Twenty-five subjects (11 males and 14 females) participated for this study. The results showed that female had wider visual range than male at the eye field, however no significant difference was found at the stationary field. The light-emitting diode had a widest visual range then color slip and characters are in order at the eye field and stationary field. For the character stimulus, the widest visual range was shown at length and breadth ratio of 1:1. The other ratios (3:5 and 5:3) showed no significant difference. The color of red had a widest visual range on the light-emitting diode, however, the color of yellow showed a widest visual range on the just color slip at the eye field. The result of this study would be valuable in applying to the design of visual display and the panel layout of control and displays in the industrial site.

• Journal of the Korean housing association
• /
• v.15 no.4
• /
• pp.1-8
• /
• 2004

This study assumes that though buildings have identical color of the outer walls, their colors and images make the difference according to neighboring environmental factors and visual range. Based on the assumption, it carries a quantitative analysis of physical and image difference, targeting colors of the outer walls of high-rise apartment buildings within apartment complex. As a result, it is identified that the outer colors of the buildings on the streetside of high-rise residential complexes are significantly different according to neighboring environmental factors and viewers' visual range. And, it is suggested that in planning colors of outer wall, colors should be arranged in consideration of color difference according to visual range.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.26 no.6
• /
• pp.1039-1043
• /
• 1997

Correlation among color intensity, electron donating ability to $\alpha$, $\alpha$-diphenyl-$\beta$-dicrylhydrazy(DPPH) and cultivation conditions by Bacillus subtilis DC-2 were tested with response surface methodology. Both of pigment generation ability and DPPH were more affected by temperature than any other factor. The highest correlation was appeared between color intensity and DPPH as 0.8364 which is significant at 1% level. After fixing cultivation time which is not significant at 10% level to 84hrs as optical cultivation time, response surface methodology was conducted in regarding temperature and color intensity. As a result of overlapped contour map of color intensity and DPPH, when cultivation temperature was in the range of 38.9~41.1$^{\circ}C$ and pH was in the range of 8.34~9.12, optical density of color intensity was predicted higher than 0.374 at 390nm and DPPH was infered higher than 1.310 at 528nm. In the range of optical culture condition, cultivation temperature, pH and cultivation time was fixed to 4$0^{\circ}C$, 8.5 and 85hrs, respectively. In resulting, observation value of color intensity and DPPH was in the range of anticipation value as 0.386 at 390nm and 1.332 at 528nm respectively.

• Journal of KIISE:Software and Applications
• /
• v.27 no.2
• /
• pp.193-200
• /
• 2000

The extraction of face regions is required for Head Gesture Interface which is a natural user interface. Recently, many researchers are interested in using color information to detect face regions in image sequences. Two most widely used color models, HSI color model and YIQ color model, were selected for this study. Actually H-component of HSI and I-component of YIQ are used in this research. Given the difference in the color component, this study was aimed to compare the performance of face region detection between the two models. First, we search the optimum range of facial color for each color component, examining the detection accuracy of facial color regions for variant threshold range about facial color. And then, we compare the accuracy of the face box for both color models by using optimal facial color and motion information. As a result, a range of $0^{\circ}{\sim}14^{\circ}$ in the H-component and a range of $-22^{\circ}{\sim}-2^{\circ}$ in the I-component appeared to be the most optimum range for extracting face regions. When the optimal facial color range is used, I-component is better than H-component by about 10% in accuracy to extract face regions. While optimal facial color and motion information are both used, I-component is also better by about 3% in accuracy to extract face regions.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2009.01a
• /
• pp.334-336
• /
• 2009

Estimation and correction of color temperature of digital images are basis of white balance adjustment after image acquisition stage. White balance is one of the most important image processing techniques for subjective image quality enhancement. Correction of color temperature is applied for white balance adjustment or for changing the mood of a picture. A picture taken under the daylight can be changed to have a mood of sunset or cloudy day, for example. We evaluate color temperature transformation of high dynamic range images in linear and log domain, and we conclude that linear domain transformation shows better results.