• International Journal of Costume and Fashion
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• v.8 no.2
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• pp.50-64
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• 2008

The purpose of this study is to classify Avatar fashion style through analysis of on-line Avatar Mall and to propose color pallette and fashion contents from fashion color analysis. The literature research focused on investigating the notion, characters and types of Avatar and relation of Avatar and self-image, clothing image and color image. In data research, 4 on-line portal sites Avatar Malls were analyzed and Avatar fashion style was classified. In addition, Avatar clothing color was analyzed. The research of this study are as follows: Firstly, Avatar in the cyber space represents 'me' of the real states. Avatar fashion helps to represent Avatar Image and clothing makes human image and identity as a social sign. Color helps to constitute clothing impression and human image, therefore clothing and color are the important elements to express self-image through Avatar in the cyber space. Secondly, Avatar Malls of 4 on-line portal sites are very similar and confuse Avatar users because of no standard of fashion style classification. Accordingly, the standard of fashion style classification should be made by a fashion expert, and the specific characters of every on-line portal site should be emphasized. Thirdly, as a result of the analysis of Avatar's clothing, the clothing is divided into a real world clothing and an imaginary world clothing. There are daily clothes, uniform, event clothes, story clothes and fantasy clothes. As a result of the color analysis of Avatar clothing, White, Red, Red Purple colors and bright and vivid tone are generally used for Avatar clothing. This study is significant to classify Avatar fashion style systematically, to notify sensitive and delicate users' sign and to make Avatar fashion image emotional and high-quality.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.1
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• pp.180-199
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• 2021

This study investigated natural aroma fragrance on the fashion image of Galchon, a traditional natural dyeing textile made with immature persimmon from the Jeju area, Korea. Nine fabric pairs consisting of differently colored cotton and silk Galchon with various tones and fabric types were used for subjective evaluation. Thirty five female college students evaluated the specimens using a 7-point scale questionnaire for fashion image-related adjectives. A specimen with three different presentation types that included fabric without fragrance (FO), fabric with citrus fragrance, and fabric with chamaecyparis (FCP) were randomly provided to a subject. As a result, color variables of Galchon were found to be the primary influence on fashion images for both cotton and silk Galchon that showed interaction effects with presentation types. The citrus fragrance increased the feeling of 'Active' while chamaecyparis tended to contribute to a stronger perception of 'Elegance' for cotton Galchon. Finally, these results were used to develop prediction models for fashion images of Galchon that employed color variables and presentation types.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.439-445
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• 2021

Low-cost, ultra-high-speed cameras, made possible by the development of image sensors and small displays, can be very useful in image processing and pattern recognition. This paper introduces an algorithm that corrects irregular lighting from a high-speed image that is continuously input with a slight time interval, and which then obtains an exposed skin color region that is the area of interest in a person from the corrected image. In this study, the non-uniform lighting effect from a received high-speed image is first corrected using a frame blending technique. Then, the region of interest is robustly obtained from the input high-speed color image by applying an elliptical skin color distribution model generated from iterative learning in advance. Experimental results show that the approach presented in this paper corrects illumination in various types of color images, and then accurately acquires the region of interest. The algorithm proposed in this study is expected to be useful in various types of practical applications related to image recognition, such as face recognition and tracking, lighting correction, and video indexing and retrieval.

• Journal of Biosystems Engineering
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• v.35 no.2
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• pp.138-145
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• 2010

An on-line algorithm that discriminates brown rice kernels on their echelon feeder using color image processing is presented for quality inspection. A rapid color image segmentation algorithm based on Bayesian clustering method was developed by means of the look-up table which was made from the significant clusters selected by experts. A robust estimation method was presented to improve the stability of color clusters. Discriminant analysis of color distributions was employed to distinguish nine types of brown rice kernels. Discrimination accuracies of the on-line discrimination algorithm were ranged from 72% to 85% for the sound, cracked, green-transparent and green-opaque, greater than 93% for colored, red, and unhulled, about 92% for white-opaque and 67% for chalky, respectively.

• Journal of the Korean Society of Fashion and Beauty
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• v.2 no.2 s.2
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• pp.59-70
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• 2004

The purpose of this study were to find out appeal types and variation of make-up image and make-up style in cosmetics advertising. The research of this study were collected from cosmetics advertisement printed in Amole Pacific Cosmetic industry from $1970{\sim}2004$. The results were as follow: 1. A cosmetics advertisement appeal were three types. it were models and products appeal advertisement as emotional appeal, products-appeal and mixed appeal advertisement. 2. A variation of make-up image were different by the time. In the 1970s make-up were model empersis eye-line and colorful make-up were classic and active make-up image. From the 1980s various color make-up were used and persuited of individuality and started to appeal that were romantic and elegance image. In the 1990s multi-color make-up image were manish and modern used ambivalence and multi-message, and in the $2000{\sim}2004$ natural and romantic-sexy remarkable make-up image were used of new concept of beauty.

• Journal of the Korean Society of Costume
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• v.62 no.6
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• pp.19-37
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• 2012

This study was done to define the color range, images and color characteristics of beige in fashion by analyzing the characteristics of beige that appears in contemporary fashion. In reference research, the general characteristics, the color name and range of beige was examined. In investigation research, color characteristics and images of beige that appear in contemporary fashion was defined, and it was discovered that the cases that the use of beige took more than 50% of the entire in the major collection from S/S season in 2007 to F/W season in 2010 as the subject of color analysis. The result of the study could be summarized as follows: First, the color range of beige consisted of the standard color from 2.5YR to 5YR, and color tone was pale and light gray. Second, the analysis of color beige that appear in contemporary fashion didn't show big differences according to year, season, and region. The color tones consisted of light grayish, pale, light, soft focusing colors from 5YR to 10YR. As for the arrangement of colors, it was arranged with black and it was used with the affiliation of YR, R, Y in many cases. Third, beige monochromatic image appeared soft, plain and classic. The arrangement of the image, modern, feminine, luxurious, gentle, intelligent five types were derived. Arrangements with achromatic colors were expressed in contemporary and sophisticated styles and arrangements with chromatic colors appeared to be soft, feminine and luxurious. This study draws the result to apply the fashion image of beige that was insufficient in other various color researches to design various color aspects by defining the image of beige that appears in contemporary fashion. Based on practical analysis for the color beige, it is evident that beige is an important factor and a powerful influence on fashion images.

• Proceedings of the Korean Printing Society Conference
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• 2007.11a
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• pp.65-73
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• 2007

The general commercial printing meets the customer's diverse demand by using spot color besides process four color. Especially, by using spot color for printing the enterprise's logo or specific color, we can see the effect of printing is getting better. The objective of this study was to examine the quality of spot color reproduction with Inkjet for 2 types of paper and Dye sublimation in ICC-based color management system. ICC profiles were generated for each device using ECI 2002 visual target and evaluated for the accuracy of each printer's color profile. The test chart consisting of Pantone color 1140 was selected to test the quality of spot color reproduction.

• The Research Journal of the Costume Culture
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• v.14 no.1
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• pp.64-78
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• 2006

The purpose of this study is to set a characteristic design by analyzing formative properties for the hat and fashion image shown in fashion collections from the S/S season of 1998 to the F/W season of 2004 in recent seven years. For the study, the 96 stimuli which found frequently in fashion collection were selected. The examines for the image evaluation were women college students majoring fashion design related fields and living in Seoul, Gyeonggi-do, and Gyeongsangnam-do. Data collection was performed in August 2004. As statistical methods for data analysis, internal consistency method, Factor Analysis, MANOVA were used. Based on the analysis of 31 pairs of adjectives for elucidating the total 96 stimuli which were devised by altering the types of garment, the relation between a garment and a color of hat, the types of hat, the length of hair, and the material and design of garment, five factors or attractiveness, gracefulness, concentration, cuteness, and hardness and softness were deduced. And it showed much difference in the types of garment, the relations between a garment and a color of hat, the types of hat, the length of hair, and the material and design of a garment.

• Journal of Fashion Business
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• v.24 no.5
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• pp.52-71
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• 2020

This study examines the color characteristics of the usage of the color pink in menswear by analyzing its usage status and method. It involves an empirical research method establishing the frame of the study through a document study centered on trend, gender neutral considerations, and the utilization of the color pink in men's fashion, by analyzing the characteristics of color and tone by extracting the pink color shown in menswear collections as well as analyzing and categorizing the fashion image and genderless characteristics. Analyzing the color and tone of the pink color shown indicate that bright, light and pale tones had higher proportions. Pink color can also be said to be utilized as a design element that gives off a younger and more vital color image in menswear. Further, the use of brighter and softer pink colors can be interpreted as reflecting modern society's demands of masculinity to change into a more sophisticated and soft image. To analyze the characteristics of the color pink utilized in gender neutral fashion, fashion images were presented as the analysis standard. An image grouping technique was used to classify pink while utilizing genderless types-fashion style. The result showed that even with the same pink color, the fashion image can vary with different methods of expression in terms of clothes and styling. The results of this study can serve as basic data for planning fashion design concepts as it analyzed pink-using fashion images and the genderless concept type.

• Journal of the Korean Geotechnical Society
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• v.38 no.5
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• pp.61-71
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• 2022

Soil color is used to determine soil classification and its physical, chemical, and biological properties. Visual determination is the most commonly used method for identifying soil color. However, it is subjective and, in many cases, non-repeatable. Digital image processing obtains useful information from digital images, accelerates soil classification, and enables the rapid identification of soil types in a field. This study develops a digital image processing-based soil color analysis technology that can consider irregular light conditions in the field. The digital image studio was designed to simulate the characteristics of natural light (illuminance and color temperature). Also, digital images of two soil samples (Jumoonjin sand and Anseong weathered soil) were captured under 12 different light conditions. For the RGB and CIELAB color systems, soil color intensities of 24 images were obtained using digital image processing. CIELAB was suitable for dealing with irregular light conditions in the field.