• 제목/요약/키워드: Color paper

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Harmonizing the Method of Environmental Color Based on Nuance Concept of Natural Color System (자연색체계(NCS)의 뉘앙스개념에 기초한 환경색채조화방법)

  • Kim, Joo-Mi
    • Korean Institute of Interior Design Journal
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    • v.21 no.1
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    • pp.40-50
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    • 2012
  • This study aims at suggesting the applicability of color combination based upon the characteristics of environmental color perception and the nuance concept of Natural Color System(NCS). The results are summarized below: First, NCS is a scientific coloring system in consideration of the relevance between people, light and environment, to be based on a phenomenological point of view. NCS can be called a psychometric model reflecting our natural color sense. Second, the color triangle established by NCS is one of the methods of expression based on the human visual mechanism, which is classified by two attributes of hue and nuance, not by the three color attributes of hue, lightness and saturation. The nuance concept of NCS implies the impression, atmosphere and tone that are perceived in colors, which are related to lightness and saturation. Accordingly, this paper suggests that the coloring arrangement emphasizing nuance and tone is more useful than hue in color planning. Third, aesthetic impression in environmental color perception is inclusive of instantly perceptive nuance, which is connected with affordance. The affordance is revealed by the different relation of similarity. In this regard, a strong relationship is noticed between color combination and the sense of pleasantness. The hypothesis regarding the complementation and similarity of contrasting nature is judged to provide observers with aesthetic order. Finally, this paper also suggests four harmonizing methods in the NCS color triangle based upon equal blackness, equal whiteness, equal chromaticness and same nuance. At the same time, opposition and a different concept of hue, lightness and lightness are combined complementarily with the nuance value to suggest patterns of color combination.

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Color Temperature Conversion of Uncalibrated Video Signal Based on Color Compensation in POP-TV

  • Do, Hyun-Chul;Chien, Sung-Il;Tae, Heung-Sik
    • 한국정보디스플레이학회:학술대회논문집
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    • 2003.07a
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    • pp.718-721
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    • 2003
  • It is often desirable that manufacturers and users can convert the reference white of display into the preferred color temperature by controlling the color temperature that is one of representative color characteristics of a light source. Accordingly, this paper proposes an efficient method of color compensation for displaying the uncalibrated video signal in PDP-TV and is also shown to be successfully coupled with flexible color temperature conversion based on the signal processing technique.

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Skin Color Extraction in Varying Backgrounds and illumination Conditions

  • Park, Minsick;Park, Chang-Woo;Kim, Won-ha;Park, Mignon
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.162.4-162
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    • 2001
  • This paper presents a fuzzy-based method for classification skin color object in a complex background under varying illumination Parameters of fuzzy rule base are generated using a genetic algorithm(GA). The color model is used in the YCbCr color space. We propose a unique fuzzy system in order to accommodate varying background color and illumination condition This fuzzy system approach to skin color classification is discussed along with an overview of YCbCr color space.

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Color Data Clustering Algorithm using Fuzzy Color Model (퍼지컬러 모델을 이용한 컬러 데이터 클러스터링 알고리즘1)

  • Kim, Dae-Won;Lee, Kwang H.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.05a
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    • pp.119-122
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    • 2002
  • The research Interest of this paper is focused on the efficient clustering task for an arbitrary color data. In order to tackle this problem, we have tiled to model the inherent uncertainty and vagueness of color data using fuzzy color model. By laking a fuzzy approach to color modeling, we could make a soft decision for the vague regions between neighboring colors. The proposed fuzzy color model defined a three dimensional fuzzy color ball and color membership computation method with the two inter-color distance measures. With the fuzzy color model, we developed a new fuzzy clustering algorithm for an efficient partition of color data. Each fuzzy cluster set has a cluster prototype which is represented by fuzzy color centroid.

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A Study on the Color Membership Computation Method using Fuzzy Color Model (패지 컬러 모델을 이용한 컬러의 소속 정도를 결정하는 방법에 관한 연구)

  • Kim, Dae-Won;Lee, Kwang. H.
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.04b
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    • pp.262-264
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    • 2002
  • In this paper we focused on the color representation prob1em based on fuzzy set theory. The main factor is the determination or computation of color membership function and color difference formula. The mathematical formula to calculate the color difference should generate a uniform color scaling, and due to this reason we adopted a CIELAB color- space as a fundamental feature space. With the help of the CIELAB color space we created a new color model, referred to fuzzy color model, which can represent the ambiguous characteristics underlying colors. Based on the proposed color difference formula between fuzzy colors, we could obtain the membership computation method of an arbitrary color for a given color family.

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How to find a suitable color for you? (본인에게 어울리는 색을 찾는 방법)

  • Jang, Dai-Hyun;Shin, Seong-Yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.617-618
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    • 2011
  • Everyone's favorite color that exists naturally or artificially. This paper proposes that ow to find a suitable color for man. First of all, we find out about the base tone forming the color such as skin color, hair color, eye color. Next, we explained color theory of four seasons that color was divided according to skin color, hair color, eye color was diveded by spring, summer, autumn and winter seasons, and according to liking or nature. And look at the characteristics of each season's color.

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Favorite colar correction for color enhancement in color application system (색채 응용 시스템의 색향상을 위한 기호색 보정)

  • 이응주;하영호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.7
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    • pp.1566-1573
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    • 1997
  • In this paper, we propose a favorite color correction algorithm for color enhancement in color application system which represent preferred colors for viewer's demands. The proposed algorithm corrects skin color which is widely used as a reference color for color control of color application system, blue color which is directly related to tri-stimulus values, and green color which has higher visual sensitivity. In the proposed algorithm, the vaiation range of phase detector output voltage was minimized for the favorite color saturation changes, thus the favorite from the burst signal for the phase detector characteristic, thus the favorite color was easilty detected from the other color without overlapping of correctionranges.

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LDesign and implementation of a content-based image retrieval system using the duplicated color histogram and spatial information (중복된 칼라 히스토그램과 공간 정보를 이용한 내용 기반 화상 검색 시스템 설계 및 구현)

  • 김철원;최기호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.5
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    • pp.889-898
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    • 1997
  • Most general content-based image retrieval techniques use color and texture as retrieval indices. Spatial information is not used to color histogram and color pair based on color retrieval techniques. This paper proposes the selection of a set of representative in the duplicated color histogram, the analysis of spatial information of the selected colors and the image retrieval process based on the duplicated color histogram and spatial information. Two color historgrams for background and object are used in order to decide on color selection in the duplicated color histogram. Spatial information is obtained using a maximum entropy discretization. A retrieval process applies to duplicated color histogram and spatial to retrieve input images and relevant images. As the result of experiment of the image retrieval, improved color his togram and spatial information method hs increased the retrieval effectiveness more the color histogram method and color pair method.

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Relation Verifying of Accident by Car Color (자동차 컬러별 사고 관계 규명)

  • Shin, Seong-Yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.646-648
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    • 2014
  • This paper proposes the color of car that accident occurs in color from the highest probability to lowest probability. This is talking about the color difference of advancing color and receding color. The color of the accident-prone is many receding color that actually seem to be far more. Advanced color that seems to be closer than the actual color find out that accident is less.

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Impact of Residual Extractives in Kraft Pulps on Brightness and Color

  • Shin, Soo-Jeong;Sung, Yong-Joo;Park, Jong-Moon;Cho, Nam-Seok
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.41 no.5
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    • pp.20-25
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    • 2009
  • Residual extractives had a noticeable impact on the brightness of unbleached hardwood kraft pulps (trembling aspen). The brightness-impacting extractives were effectively removed by oxygen delignification. In addition, oxygen delignification was more effective in removing chromophores in hardwood unbleached kraft pulps than in those of softwood (loblolly pine). The residual extractives in unbleached hardwood kraft pulps also affected the pulp color, primarily redness and the L value. These redness-related extractives in unbleached hardwood kraft pulps were also effectively removed by oxygen delignification. There were no significant color differences between untreated and solvent-extracted oxygen-delignified aspen kraft pulps. The residual extractives in unbleached and oxygen-delignified softwood (loblolly pine) kraft pulps did not have a significant impact on either brightness or pulp color.