• Title/Summary/Keyword: 컬러링

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Color-based Stippling for Non-Photorealistic Rendering (비사실적 렌더링 (NPR)을 위한 컬러기반 점묘화 기법)

  • Jang Seok;Hong Hyun-Ki
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.1_2
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    • pp.128-136
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    • 2006
  • The stippling techniques, which represent objects with numerous points using pen and ink. The previous stippling techniques for Non-Photorsealistc Rendering(NPR) use single-colored points to represent the tone of gray image ur the material of surface. This paper presents a new stippling technique with various colored points based on the analysis of color information. By using the color information of the input image on HSV model, we define the color weight function that allows to determine automatically the number and size of points. The color jittering based on Munsell's color model can generate stippling drawings using various colored points to represent the image. Our color stippling method is expected to be used in many areas such as animation, digital art, video processing and CG tool.

The Brand Image Retrieval system Based on The Color/shape (컬러/형태 기반 브랜드 이미지 검색 시스템)

  • 신성윤;임정훈;강오형;이양원;표성배
    • Proceedings of the Korea Multimedia Society Conference
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    • 2001.11a
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    • pp.299-302
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    • 2001
  • 이미지 검색 시스템이란 이미지가 갖는 다양한 특징을 바탕으로 똑같거나 유사한 이미지를 검색하여 제공하는 시스템이다. 본 논문에서는 이미지의 컬러와 형태를 기반으로 한 브랜드 이미지 검색 시스템을 제시한다. 이미지를 영역별로 분할하여 영역별 컬러 분포 히스토그램을 추출하여 컬러 정보로 이용하고 경계면 추출, 무게 중심 추출, angular 샘플링 등의 전처리 과정과 무게 중심으로부터 경계면까지 거리의 합, 표준 편차, 장/단축 비율을 계산하여 형태정보로 이용한다. 이렇게 추출된 컬러와 형태 정보를 이용하여 유사성 측정을 통한 검색을 수행한다.

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Object Tracking Based on Color Centroids Shifting with Background Color and Temporal filtering (배경 컬러와 시간에 대한 필터링을 접목한 컬러 중심 이동 기반 물체 추적 알고리즘)

  • Lee, Suk-Ho;Choi, Eun-Cheol;Kang, Moon-Gi
    • Journal of Broadcast Engineering
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    • v.16 no.1
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    • pp.178-181
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    • 2011
  • With the development of mobile devices and intelligent surveillance system loaded with pan/tilt cameras, object tracking with non-stationary cameras has become a topic with increasing importancy. Since it is difficult to model a background image in a non-stationary camera environment, colors and texture are the most important features in the tracking algorithm. However, colors in the background similar to those in the target arise instability in the tracking. Recently, we proposed a robust color based tracking algorithm that uses an area weighted centroid shift. In this letter, we update the model such that it becomes more stable against background colors. The proposed algorithm also incorporates time filtering by adding an additional energy term to the energy functional.

종합 - 2

  • (사)한국여성발명협회
    • The Inventors News
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    • no.4
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    • pp.6-6
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    • 2002
  • `2002 전국학생 발명상상화 및 캐릭터 그리기 대회` 수상자 결정 - MS, 익스플로러 특허 소송 위기 - 외국 제품 모방 출원 요령 - `컬러링` 특허 논란 일고 있다 - 주5일 근무제 확산에 따른 레저용품 출원 증가

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Interference Avoidance Resource Allocation for Device-to-Device Communication Based on Graph-Coloring (단말 간 직접 통신을 위한 그래프-컬러링 기반 간섭 회피 자원 할당 방법)

  • Lee, Changhee;Oh, Sung-Min;Park, Ae-Soon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39A no.12
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    • pp.729-738
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    • 2014
  • In this paper, we propose interference avoidance resource allocation scheme based on graph-coloring algorithm to introduce performance gain using spatial reuse in D2D (Device-to-Device) system. By assigning multiple D2D pairs to a single D2D resource, interference from neighboring D2D pairs is inevitable, which leads to performance degradation. Therefore, we first introduce the feedback information and the method considering the amount of information that can be practically provided by a D2D pair. Then, we propose how to construct a graph, which is corresponding to the D2D system, using the feedback information and adopt a graph-coloring algorithm to efficiently avoid interference. Simulation results show that the proposed resource allocation scheme outperforms traditional resource allocation schemes in both overall sum rate and spectral efficiency of D2D system while reducing the outage probability. Moreover, the outage probability, which indicates a failure rate of D2D communication, can be reduced by adopting the proposed scheme.

A Study on the Influence and Utilization Level of Practical Subjects of National Hairdresser Licensing Examination on the Practical Field (미용사 일반 국가자격증 실기과제가 현장실무에 미치는 영향 및 활용정도)

  • Kim, Yu-Ri;Park, Jang-Soon
    • Journal of Digital Convergence
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    • v.14 no.6
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    • pp.449-455
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    • 2016
  • In this study, the survey targeting 180 in-service hair dressers from beauty salons located in Seoul was carried out in order to determine the connection between the practical tasks(scalp, shampoo, cut, blow dry, roll setting, blow dry, coloring) of national hairdresser licensing examination and the practical field. The utilization level of 7 practical subjects tasks was average except for hair coloring which showed a high support of spread and spread-skill tasks. Also, the utilization level of two subjects including haircut and coloring gave a positive influence on the practical skill (p<0.05). Therefore, practical application of haircut which is one of the most important subjects for in-service hair dressers and high quality education for customer satisfaction are necessary and it is necessary to check other subjects which have no influence on the practical field again.

System of Efficient Trademark Image Retrieval (효율적인 상표 영상 검색 시스템)

  • Shin, Seong-Yoon;Baek, Jeong-Uk;Rhee, Yang-Won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.160-161
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    • 2010
  • In this paper, trademark image retrieval system is proposed by using color information and shape information. We use the image for a color information by dividing into the area and extracting the area color distribution histogram. We use for the shape information by preprocessing of the boundary extraction, the centroid extraction, angular sampling etc. and calculating of the sum of the distance from the centroid to the boundary, the standard deviation, and the rate of long axis to short axis. In particular, centroid by using the angular sampling can extract feature and reduce the processing time. Users can perform searchs using the color and shape information, and also the two methods by mixing can be used by weighting.

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Demosaicing Algorithm by Gradient Edge Detection Filtering on Color Component (컬러 성분 에지 기울기 검출 필터링을 이용한 디모자이킹 알고리즘)

  • Jeon, Gwan-Ggil;Jung, Tae-Young;Kim, Dong-Hyung;Kim, Seung-Jong;Jeong, Je-Chang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.12C
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    • pp.1138-1146
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    • 2009
  • Digital cameras adopting a single CCD detector collect image color by subsampling in three color planes and successively interpolating the information to reconstruct full-resolution color images. Therefore, to recovery of a full-resolution color image from a color filter array (CFA) like the Bayer pattern is generally considered as an interpolation issue for the unknown color components. In this paper, we first calculate luminance component value by combining R, G, B channel component information which is quite different from the conventional demosaicing algorithm. Because conventional system calculates G channel component followed by computing R and B channel components. Integrating the obtained gradient edge information and the improved weighting function in luminance component, a new edge sensitive demosaicing technique is presented. Based on 24 well known testing images, simulation results proved that our presented high-quality demosaicing technique shows the best image quality performance when compared with several recently presented techniques.

Image Segmentation Using Color Morphological Pyramids (Color Morphological Pyramids를 이용한 이미지 분할)

  • 이석기;최은희;김석태
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.5
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    • pp.789-795
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    • 2002
  • Color image is formed of combination of three color channels. Therefore its architecture is very complicated and it requires complicated image Processing for effective image segmentation. In this paper. we propose architecture of universalized Color Morphological Pyramids(CMP) which is able to give effective image segmentation. Image Pyramid architecture is a successive Image sequence whose area ratio $2^{\int}({\int}=1,2,....,N)$ after filtering and subsampling of input image. In this technique, noise removed by sequential filtering and resolution is degraded by downsampling using CMP in various color spaces. After that, new level images are constructed that apply formula using distance of neighbor vectors in close level images and segments its image. The feasibility of proposed method is examined by comparing with the results obtained from the existing method.