• 제목/요약/키워드: information of color

검색결과 4,688건 처리시간 0.039초

퍼지 컬러 모델의 비퍼지화 방법과 거리 척도의 제안 (A Note on the Defuzzification Method and Distance Metric of Fuzzy Color Model)

  • Kim, Dae-Won;Lee, Kwang H.
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2001년도 가을 학술발표논문집 Vol.28 No.2 (2)
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    • pp.40-42
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    • 2001
  • Most people have to deal with color and color problems occasionally. There are many strange things about color and color vision that most people do not notice. Even though color seems intuitive and simple it is not. In this paper, we modeled the color using fuzzy set theory. The proposed fuzzy color model is based on the Munsell color space. We defined several fuzzy color terminologies, and proposed a extended center of gravity defuzzification mthod for fuzzy color set. Finally, three distance measures between fuzzy colors were also formulated.

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Automatic Face Identification System Using Adaptive Face Region Detection and Facial Feature Vector Classification

  • Kim, Jung-Hoon;Do, Kyeong-Hoon;Lee, Eung-Joo
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -2
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    • pp.1252-1255
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    • 2002
  • In this paper, face recognition algorithm, by using skin color information of HSI color coordinate collected from face images, elliptical mask, fratures of face including eyes, nose and mouth, and geometrical feature vectors of face and facial angles, is proposed. The proposed algorithm improved face region extraction efficacy by using HSI information relatively similar to human's visual system along with color tone information about skin colors of face, elliptical mask and intensity information. Moreover, it improved face recognition efficacy with using feature information of eyes, nose and mouth, and Θ1(ACRED), Θ2(AMRED) and Θ 3(ANRED), which are geometrical face angles of face. In the proposed algorithm, it enables exact face reading by using color tone information, elliptical mask, brightness information and structural characteristic angle together, not like using only brightness information in existing algorithm. Moreover, it uses structural related value of characteristics and certain vectors together for the recognition method.

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자동차 사고 파악(색상별) (Traffic Accident Understanding(Color))

  • 신광성;신성윤
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2019년도 춘계학술대회
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    • pp.175-176
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    • 2019
  • 본 논문에서는 진출색(advancing color)과 후퇴색(receding color)의 의미와 자동차 사고와의 어떤 관계가 있는지 알아본다. 진출색이 사고가 적고 후퇴색이 사고가 많다. 진출색과 후퇴색은 동일 위치에서 어떤 색과 배경색과의 관계로서 알 수 있다.

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Improving Visual Accessibility for Color Vision Deficiency Based on MPEG-21

  • Yang, Seung-Ji;Ro, Yong-Man;Nam, Je-Ho;Hong, Jin-Woo;Choi, Sang-Yul;Lee, Jin-Hak
    • ETRI Journal
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    • 제26권3호
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    • pp.195-202
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    • 2004
  • In this paper, we propose a visual accessibility technique in an MPEG-21 framework. In particular, MPEG-21 visual accessibility for the colored-visual resource of a digital item is proposed to give better accessibility of color information to people with color vision deficiency (CVD). We propose an adaptation system for CVD as well as a description of CVD in MPEG-21. To verify the usefulness of the proposed method, computer simulations with CVD and color adaptation were performed. Furthermore, a statistical experiment was performed using volunteers with CVD in order to verify the effectiveness of the proposed visual accessibility technique in MPEG-21. Both the experimental and simulation results show that the proposed adaptations technique can provide better color information, particularly to people with CVD.

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Color Image Analysis of Cosmetic Web-Site for Color Marketing

  • Lee, Jeongman;An, Jongsuk
    • 패션비즈니스
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    • 제16권6호
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    • pp.127-143
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    • 2012
  • This study aims to derive the sensitive image analysing the color tones based on the web-sites of cosmetic brand and to know how the web-site color tones and the color tone image as visual factor for information transfer do influence the effective communication. 10 cosmetic brand web-sites are selected based on the pre survey, and the main page color tones of cosmetic brand web-site are analyzed by Color Catch and Munsell Conversion program, whereas the composition of color tones and color image such as the main trend colors, secondary colors, accent colors and etc are analyzed by a graphic professional program 'Adobe Photoshop'. 5 color tone groups are classified as Black&White, Green&White, Blue&White, Purple&White and Red&White according to the color distribution chart, and the emotional language is derived applying them to the pre research and IRI image scale. The color association is empirically analyzed by a survey method. The study results finally show Black&White is proper for expression of high quality and modern image, Green&White for pure and clean image, Blue&White for cool and transparent image, Purple&White for mysterious and elegant image respectively. This study results are necessary for plan of color delivering the strong transferring power of visual information the time when to make the effective web-sites, and it hopefully will be utilized as the basic data for the color marketing to actively express the brand identity and to satisfy the consumers' sensitivity.

실내 주행 이동 로봇을 위한 컬러 이미지를 이용한 표식점 위치 측정 방법 (A landmark position estimation method using a color image for an indoor mobile robot)

  • 유원필;정명진
    • 대한전기학회논문지
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    • 제45권2호
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    • pp.310-318
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    • 1996
  • It is very important for a mobile robot to estimate its current position With precise information about the current position, the mobile robot can do path-planning or environmental map building successfully. In this paper, a position estimation method using one color image is presented. The mobile robot(K2A) takes an image of a corridor and searches for the door and pillar, which are the given landmarks. The color information is used to distinguish the landmarks. In order to represent the presence of the landmarks, Image Mode is defined. This method adopts Kullback information distance. If a landmark is detected, with the color information, the mobile robot identifies the vertical line of the landmark and its crossing point and an experimental navigation is performed.

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The Improvement of Rough- set Theory Histogram in Color- image Segmentation

  • Zheng, Qi;Lee, Hyo Jong
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2011년도 추계학술발표대회
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    • pp.429-430
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    • 2011
  • Roughness set theory is a popular topic to use in color-image segmentation. A new popular color image segmentation algorithm is proposed by scientists with the point using traditional histogram and Histon construct roughness set histogram. But, there is still a problem about that is the correlativity of color vector in roughness set histogram, which take an inactive effect in the process of color-image segmentation. Therefore, this paper represents further research based on this and proposed an improved method proved through lot of experiments. The experimental result reduces the correlativity of color vector in roughness set histogram and calculation time remarkably.

Highlight-Detection-Based Color Correction Method for Multiview Images

  • Shao, Feng;Jiang, Gangyi;Yu, Mei;Ho, Yo-Sung
    • ETRI Journal
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    • 제31권4호
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    • pp.448-450
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    • 2009
  • In multiview imaging systems, color correction is adopted to eliminate color inconsistency between views. However, the influence of highlights on color correction has not been considered before. In this letter, a new color correction method based on highlight detection is proposed. The method is designed to treat highlight and highlight-removal regions independently when calculating correction parameters. Finial correction is implemented with a fusion mechanism. Experimental results show that the proposed method can improve objective and subjective correction performance, while achieving better coding performance than other correction methods.

지능형 디스플레이 색상 조절 (Intelligent Color Control for Display Panel)

  • 조장군;김종원;서재용;조현찬;조태훈
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
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    • pp.237-240
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    • 2006
  • Human's sight holds the most extents among other senses. It will become more beneficial in person's emotion or body, if we form much better environment to human in connection with visual information as importance of visual information. Human is using a lot of display units on modern society. Basic colors that compose these are Red, Green and Blue. Using these three colors, we can change color sense of monitor or brightness degree. Suitable color degree by individual's environment can reduce person's stress or give comfortable feeling. So Factors by human's emotion and environment are standardized using fuzzy and the method that is to apply the result of Intelligent Color Control(ICC) on display is proposed.

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A Comparative Study of Recognition Rate of Color QR Code Printed on Tyvek and Cotton Material

  • Park, Suhrin
    • 패션비즈니스
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    • 제21권3호
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    • pp.14-28
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    • 2017
  • This purpose of this study to analyze effect material properties have on change in QR code recognition rate according to change of materials by comparing recognition rate of color QR code. QR code applied to textile materials has the advantage of being washable and being applicable to lost child prevention goods or clothes or a person with dementia through record of information relating to the material or input of additional information, differently from QR code printed on the conventional paper. An effective method of entering QR code in textile materials is Digital Textile Printing(DTP), that facilitates printing by rapidly applying diverse information, and small quantity production. It is possible to tailor various QR codes according to use. Regarding samples to use, cotton material used in clothing products and Tyvek material recently applied to clothing and related products were selected. Reactive dyes were used for cotton, pigment was used for Tyvek, and QR code was printed with an inkjet printer by direct printing method. Printing methods and surface textures are different between cotton and Tyvek. It was revealed that consequent print results and results of recognition rate were different. Regarding color to be printed, 2015 S/S - 2017 S/S color presented by Pantone was used. Color combination affected recognition rate of color QR code. Understanding color combination, material properties and print characteristics may be helpful in increasing recognition rate of color QR code, and may contribute to usability of color QR code applied to textile materials in the future.