• Title/Summary/Keyword: Color Order

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RESEARCH ON KANSEI COLOR DESIGN BY PLEASANT SOUND

  • Okamoto, Miyoshi;Mori, Akira
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2000.04a
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    • pp.144-148
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    • 2000
  • A new paradigm is urgently needed to create the textile product that appeal to human Kansei or Gosei. A future of textiles depends heavily on this new paradigm. In order to create new paradigm Kansei color designs by pleasant sound are tried. These computing color designs are treated by the method of Fast fourier Transformation. As several result good color designs are given in forms of ring color patterns and band. But these judgments depend finally on human kansei. These new technology give us good hints in order to create new paradigm that appeal to Kansei goods. This new concept should be developed to higher level by additional improvements.

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Digital Watermarking using Color Space Conversion

  • Kim, Hee-Soo;Jin-woo park;Eui-Yoon chung;Ha, Yeong-Ho
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.470-473
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    • 2000
  • Digital watermarking is a technical solution to the copyright problem and is a necessary technique to protect copyright of multimedia content. Recently, there are many digital watermarking methods that deal in grey scale still images. However, only a few researchers are interested in digital watermarking fro video and color images. In this paper, we focus on digital watermarking for color images. At first, in order to embed the watermark signal in color image, we converted RGB color space to YCbCr color space which is a world-wide digital component video standard. In addition, we adopted the acceptable degree of color difference in order to keep the invisibility.

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Contents Analysis of the Municipal Color Design Guidelines (지방자치단체의 색채가이드라인 구성 내용 실태)

  • Kim, Jung-Keun;Kim, A-Lam
    • Korean Institute of Interior Design Journal
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    • v.21 no.5
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    • pp.237-243
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    • 2012
  • As the competition of city design from various municipals recently, color guidelines are continuously established. But the contents of color guidelines are differing from one municipal to the other, It has doubts on its effectiveness. Thus, the objective of this researchis to investigate municipals' color guidelines in order to apprehend the characteristics and differences among each other. In order to do this, the research will collect color guidelines of 5 different cities and 2 different districts. Then, by organizing tables for different characteristics of contents, the research will attempt to identify the difference between municipals. The conclusion of such research is as follows. First, basic contents of color guidelines are composed with planning, proposing and managing stages. Furthermore its objective, target subject, detailed guidelines and exemplary cases were common. Second, the contents of color guidelines of municipals were vastly differing from each other in respect to the size of the cities or the objectives of its application. Third, color guideline contents of the city of Seoul, Sejong city, and Chung-ra district are composed rather reliably while that of the city of Inchun, and Sung-buk district were lacking considerably in terms of up-to-date survey of environment, color proposal, and managing policy in comparison to other municipals. In conclusion, there is a strong necessity for standardization of establishment or form of the color guidelines. Furthermore, measures for proper adjustment in respect to the size of a municipal or its purpose should be arranged adequately.

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A Color-Filterless LCD by using RGB LED array and lenticular lens array

  • Kwon, Jin-Hyuk
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.76-78
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    • 2009
  • A liquid crystal display that does not use color filters is proposed. A backlight unit that employs compartmentalized RGB LED arrays and a lenticular lens array is used instead of the color filters in order to direct RGB LED lights into the RGB subpixels. A design of color-filterless LED backlight and experimental results are presented.

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Selection of Color Smaples based on Genetic Algorithm for Color Correction (유전알고리즘을 이용한 색 보정용 색 샘플 결정)

  • 이규헌;김춘우
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.1
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    • pp.94-104
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    • 1997
  • Most color imaging devices often exhibit color distortions due to the differences in realizable color gamuts and nonlinear characteristics of their components. In order to minimize color differences, it is desirable to apply color correction techniques. Th efirst step of color correction is to select the subset of the color coordinates representing the input color space. Th eselected subset serves as so called color samples to model the color distortion of a given color imaging device. The effectiveness of color correction is determined by the color sampels utilized in the modeling as well as the applied color correction technique. This paper presents a new selection method for color samples based on gentic algorithm. In the proposed method, structure of strings are designed so that the selected color samples fully represent the characteristics of color imaging device and consist of distinct color coordinates. To evaluate the performance of the selected color samples, they ar etuilized for three different color correction experiments. The experimentsal results are comapred with the crresponding results obtianed with the equally spaced color samples.

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A fundamental study on the Color Perference and the Recognition of Color Names among College Students (대학생의 색기호와 색명 인지도에 관한 기초적 연구)

  • 이정옥;진현선
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.11 no.3
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    • pp.63-70
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    • 1997
  • The objective of this study was to investigate the color preference and the recognition of color names among college students. The study revealed the following: 1) The most favorite colors included blue, purple, white and green in that order; and the least favorite colors included achromatic colors, ocher and red in that order. 2) Brown was the favorite color in furniture while red was the disliked color; In colthing, white was preferred while red was disliked; Red was appropriate for accent colors, and bright colors were for product packages. 3) In regards with seasonal image, yellow, blue, brown and white were associated with spring, summer, fall and winter, respectively; Blue represented self-image most. 4) Black, grey, red and green in that order showed the higest recognitions in color names while indigo, crimson, deep carmine and havy blue showed the lowesR ; Color name recognitions showed the order of achomatic, neutial, warm and cool colors.

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The Dyeing Properties of Cellulose and Protein Fabrics by Yellow Natural Dyes (황색계 천연염료에 의한 셀룰로스, 단백질계 섬유의 염색)

  • Shin, Young-Joon
    • Journal of the Korea Fashion and Costume Design Association
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    • v.19 no.1
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    • pp.135-145
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    • 2017
  • In order to analysis on color difference of yellow natural dyes, I have dyed cellulose and protein fabrics. The results of experiment have been analysed by wavelength of maximum absorption, amounts of dye uptake, color difference, Hunter's value and Munsell's value. The results from these analyses are as follows : Bud of pagoda tree, Amur cork, and Curcuma showed greenish yellow color, Gardenia Jasminoides showed reddish yellow color. Barberry root showed reddish yellow color with post-mordanting method on cellulose fabric. Moreover, Dupioni silk was dyed in reddish yellow color by Barberry root and Rhubarb. In addition to Chroma index, Gardenia Jasminoides and Curcuma showed clear color overall. However, dyeing rayon and silk by Barberry root, and dyeing silk by Rhubarb showed clear color. Comparing all the results to actual dyed materials, Bud of pagoda tree had small dye uptake, and both ${\Delta}a$ and ${\Delta}b$ value were short which can't recognized the yellow color easily. Dye uptake of Amur cork and Gardenia Jasminoides was small just like Bud of pagoda tree. However, ${\Delta}b$ value order was Gardenia Jasminoides>Amur cork>Bud of pagoda tree. Therefore, Gardenia Jasminoides recognized reddish yellow because of big value of red color and yellow color. In case of Barberry root and Rhubarb which have larger dye uptake, Baberry root recognized yellow color on rayon only, and couldn't recognized yellow color on bleached cotton fabric, ramie, silk, and dupioni silk. Rhubarb recognized yellow color on rayon with pre-mordanting method only, but recognized silk and dupioni silk as brown like color. Moreover, we could not analyze color by dye uptake, Lab, and H(v/c) for Barberry root and Rhubarb. As a result, I think we need to attach color table for the research paper which handled the color of dyeing materials.

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Study on the Plants-preference Pattern According to Personality Type(Enneagram) for the Creating of Healing Garden - Focusing young generation - (치유정원 조성을 위한 성격 유형별(Enneagram) 식물 선호도에 관한 연구 - 청년층을 대상으로 -)

  • Park, Won Kyu
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.19 no.6
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    • pp.31-40
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    • 2016
  • This study identifies the basic personality types of subjects who use the healing garden and investigates their plants-preference. The purpose of the study is to provide a basic information about planting plan, considered as a main parts of healing garden. Survey results are stated as follows: First, the order of preference of instinct type tree is Prunus yedoensis, zelkova serrata, Phyllostachys Bambusoides. On the other hands, the order of preference of feeling and thinking type is Prunus yedoensis, zelkova serrata, Metasequoia glyptostroboides. Second, the order of preference of instinct type of flowers is Rosa hybrida, Hibiscus syriacus, Forsythia koreana. However, the preference of emotional type is the order of Rosa hybrida, cosmos bipinnatus, Helianthus annuus and the preference of accident type is the order of Rosa hybrida, Hibiscus syriacus, Helianthus annuus. Third, for the color preferences, instinct type prefer yellow color, feeling type and thinking type prefer red color. Lastly, when people view plants, most personality types are interested in flower firstly, and secondly type of tree and scent. In other words, we can assume that people are interested in the flowers, most noticeable in plants. This study will enhance the effectiveness of the healing garden by providing relevant information regarding healing garden planting plan. Future research should consider to widen the range of target of investigation in order to perform additional comparison analysis.

A Study on Preference of Men and Women in Their 20s of Clothing Color -In the Taegu Areas- (20대 남녀의 의복색상 선호에 관한 연구 -대구시내를 중심으로-)

  • 은영자;박소희
    • The Research Journal of the Costume Culture
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    • v.4 no.3
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    • pp.305-323
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    • 1996
  • The purpose of this sty is to forecast the tendency of clothing colors, to provide materials useful for making the color plan for a better costume, and suggest new information in the apparel industry. To achieve these purposes, this study was carried out by suggesting vogue colors of recent apparel, along with the 20 standard colors of Muncell to 350 men and women in their 20s residing in Taegu.. We analysed and compared their preferred colors in suits vidual factor ;age, sex, education ,skin color, and body shape, and additionally classifying their interest in clothing colors, cause for color selection , degree of interest in color of clothes, color satisfaction of apparel market, and color combination of clothing, color satisfaction of apparel market, and color combination of clothing. We compared these elements according to their age, sex, and education. The results of this study is summarized as follows; 1. It was shown that both men and women in their 20s preferred warm colors the first colors mentioned being the most popular ; Pastels, Red, Blue and Black. They disliked dark and sordid colros in the order of Mauve, Khaki and Red. They preferred wearing Pastels and Yellow in the Spring, White, Blue, and Pastels were the favorites for summer, Beige in autumn, and black, Gray, and Beige in winter. The repugnated colors they chose two wear were Black, Red, Mauve, Khaki in spring and summer. Mauve, Red, Yellow were favorites for autumn, and Blue·White, Yellow·Green, and Pastels in winter. 2. The preferred colors for T-shirts were Yellow, Pastels, White in spring. White and Pastels were summer favorites, Beige an Red for autumn, and Black, Red, Beige in Winter. As for suits, the preferred colors in spring were in the order of Pastels, Beige and Yellow. The preferred colors of upper garments in summer were in the order of White and pastels. for lower summer garments Pastels, White and Blue were favorites. In autumn, Beige was shown to be highly preferred, and in winter, the order of preferred colors was Black, Gray and Beige. 3. On of those individual factors showing the greatest difference was sex. 4. Those factors having the greatest impact on the selection of clothing color were the season and their preference color. 5. The in vogue color of men in their 20s was at a higher level than hat of women. The groups that had an upper college level education showed a significant difference in their choices thant hose who were highschool graduates and technical college student and graduates. The consideration of inteterest in color of clothes, holding clothes during new purchasing, body shape and skin color was higher for women than men. In buying and wearing accessaries, women tend to take into consideration the harmony with the garment, and there was shown a significant difference between highschool graduates and the groups above the level of college education.

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Color Component Analysis For Image Retrieval (이미지 검색을 위한 색상 성분 분석)

  • Choi, Young-Kwan;Choi, Chul;Park, Jang-Chun
    • The KIPS Transactions:PartB
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    • v.11B no.4
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    • pp.403-410
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    • 2004
  • Recently, studies of image analysis, as the preprocessing stage for medical image analysis or image retrieval, are actively carried out. This paper intends to propose a way of utilizing color components for image retrieval. For image retrieval, it is based on color components, and for analysis of color, CLCM (Color Level Co-occurrence Matrix) and statistical techniques are used. CLCM proposed in this paper is to project color components on 3D space through geometric rotate transform and then, to interpret distribution that is made from the spatial relationship. CLCM is 2D histogram that is made in color model, which is created through geometric rotate transform of a color model. In order to analyze it, a statistical technique is used. Like CLCM, GLCM (Gray Level Co-occurrence Matrix)[1] and Invariant Moment [2,3] use 2D distribution chart, which use basic statistical techniques in order to interpret 2D data. However, even though GLCM and Invariant Moment are optimized in each domain, it is impossible to perfectly interpret irregular data available on the spatial coordinates. That is, GLCM and Invariant Moment use only the basic statistical techniques so reliability of the extracted features is low. In order to interpret the spatial relationship and weight of data, this study has used Principal Component Analysis [4,5] that is used in multivariate statistics. In order to increase accuracy of data, it has proposed a way to project color components on 3D space, to rotate it and then, to extract features of data from all angles.