• 제목/요약/키워드: Color Modeling

검색결과 250건 처리시간 0.028초

Indoor Environment Modeling with Stereo Camera for Mobile Robot Navigation

  • Park, Sung-Kee;Park, Jong-Suk;Kim, Munsang;Lee, Chong-won
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.34.5-34
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    • 2002
  • In this paper we propose a new method for modeling indoor environment with stereo camera and suggest a localization method for mobile robot navigation on the basis of it. From the viewpoint of easiness in map building and exclusion of artificiality, the main idea of this paper is that environment is represented as global topological map and each node has omni-directional metric and color information by using stereo camera and pan/tilt mechanism. We use the depth and color information itself in image pixel as feature for environmental abstraction. In addition, we use only the depth and color information at horizontal centerline in image, where optical axis is passing. The usefulness of this m...

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퍼지 모델링 기법을 이용한 새로운 칼라 조제 방법 (A New Method for Color Measurign Using Fuzzy Modeling)

  • 류상문;한일석;박병준;안태천
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.2395-2397
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    • 2000
  • In this paper, a new method for color measuring is presented using fuzzy modeling technique. The fuzzy and polynomial inferences are used for obtaining RGB characteristic curve. The eight RGB real data from expert dye-stuff manufacturer, are simulated. The results show that the proposed method is more excellent than other methods, in the color measuring process of textile field.

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Film특성 Modeling기법을 통하여 표준 Video신호를 Film신호로 Conversion하는 영상처리 방법 (Image Processing that Conversion from Standard Video Signal to Film Signal using Film Characteristics Modeling Techniques.)

  • 이상진;엄진섭;표세진;최병선
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2007년도 하계종합학술대회 논문집
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    • pp.277-278
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    • 2007
  • 본 논문에서는 Film의 물리적인 특성을 Modeling하여 Film신호가 아닌 영상신호를 Film신호 특성을 갖도록 함으로써, Color가 보다 풍부한 느낌이 들게 하고 어두운 부분과 밝은 부분의 Dynamic Range를 확대하여, 일반 Video신호 영상을 필름 영화와 같은 Color효과를 갖도록 변환하는 방법에 대해 제안한다.

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Influence of modeling agents on the surface properties of an esthetic nano-hybrid composite

  • Kutuk, Zeynep Bilge;Erden, Ecem;Aksahin, Damla Lara;Durak, Zeynep Elif;Dulda, Alp Can
    • Restorative Dentistry and Endodontics
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    • 제45권2호
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    • pp.13.1-13.10
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    • 2020
  • Objective: The aim of this study was to evaluate the influence of different modeling agents on the surface microhardness (Vickers hardness number; VHN), roughness (Ra), and color change (ΔE) of a nano-hybrid composite with or without exposure to discoloration by coffee. Materials and Methods: Sixty-four cylinder-shaped nano-hybrid composite specimens were prepared using a Teflon mold. The specimens' surfaces were prepared according to the following groups: group 1, no modeling agent; group 2, Modeling Liquid; group 3, a universal adhesive (G-Premio Bond); and group 4, the first step of a 2-step self-adhesive system (OptiBond XTR). Specimens were randomly allocated into 2 groups (n = 8) according to the storage medium (distilled water or coffee). VHN, Ra, and ΔE were measured at 24 hours, 1 week, and 6 weeks. The Kruskal-Wallis test followed by the Bonferroni correction for pairwise comparisons was used for statistical analysis (α = 0.05). Results: Storage time did not influence the VHN of the nano-hybrid composite in any group (p > 0.05). OptiBond XTR Primer application affected the VHN negatively in all investigated storage medium and time conditions (p < 0.05). Modeling Liquid application yielded improved Ra values for the specimens stored in coffee at each time point (p < 0.05). Modeling Liquid application was associated with the lowest ΔE values in all investigated storage medium and time conditions (p < 0.05). Conclusion: Different types of modeling agents could affect the surface properties and discoloration of nano-hybrid composites.

칼라 매저링/매칭용 지능형 전문가 시스템의 구현 (Implementation of Intelligent Expert System for Color Measuring/Matching)

  • 안태천;장경원;오성권
    • 제어로봇시스템학회논문지
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    • 제8권7호
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    • pp.589-598
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    • 2002
  • The color measuring/matching expert system is implemented with a new color measuring method that combines intelligent algorithms with image processing techniques. Color measuring part of the proposed system preprocesses the scanned original color input images to eliminate their distorted components by means of the image histogram technique of image pixels, and then extracts RGB(Red, Green, Blue)data among color information from preprocessed color input images. If the extracted RGB color data does not exist on the matching recipe databases, we can measure the colors for the user who want to implement the model that can search the rules for the color mixing information, using the intelligent modeling techniques such as fuzzy inference system and adaptive neuro-fuzzy inference system. Color matching part can easily choose images close to the original color for the user by comparing information of preprocessed color real input images with data-based measuring recipe information of the expert, from the viewpoint of the delta Eformula used in practical process.

퍼지 색상 필터를 이용한 얼굴 영역 추출 (Extraction of Facial Region Using Fuzzy Color Filter)

  • 김문환;박진배;정근호;주영훈;이재연;조영조
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.147-149
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    • 2004
  • There are no authentic solutions in a face region extraction problem though it is an important part of pattern recognition and has diverse application fields. It is not easy to develop the facial region extraction algorithm because the facial image is very sensitive according to age, sex, and illumination. In this paper, to solve these difficulties, a fuzzy color filer based on the facial region extraction algorithm is proposed. The fuzzy color filter makes the robust facial region extraction enable by modeling the skin color. Especially, it is robust in facial region extraction with various illuminations. In addition, to identify the fuzzy color filter, a linear matrix inequality(LMI) optimization method is used. Finally, the simulation result is given to confirm the superiority of the proposed algorithm.

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심장 전기도 시스템을 위한 심장 칼라 애니메이션 소프트웨어 개발 (The development of a cardiac color animation S/W for cardiac activation system)

  • 이승대;한영오
    • 한국컴퓨터산업학회논문지
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    • 제10권5호
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    • pp.207-212
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    • 2009
  • 본 연구는 PC 기반 심장 전기도 시스템에서 사용될 수 있는 심장 칼라 애니메이션 소프트웨어를 개발하였다. 개발된 소프트웨어는 심장의 3차원 칼라 모델링과 회전이 가능하도록 구현되었다.

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Motion Segmentation from Color Video Sequences based on AMF

  • 알라김;김윤호
    • 한국정보전자통신기술학회논문지
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    • 제2권3호
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    • pp.31-38
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    • 2009
  • A process of identifying moving objects from data is typical task in many computer vision applications. In this paper, we propose a motion segmentation method that generally consists from background subtraction and foreground pixel segmentation. The Approximated Median Filter (AMF) was chosen to perform background modelling. To demonstrate the effectiveness of proposed approach, we tested it gray-scale video data as well as RGB color space.

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퍼스널 컬러 스킨 톤 유형 분류의 정량적 평가 모델 구축에 대한 연구 (Research of Quantitative Modeling that Classify Personal Color Skin Tone)

  • 김용현;오유석;이정훈
    • 한국의류학회지
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    • 제42권1호
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    • pp.121-132
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    • 2018
  • Recent beauty trends focus on suitability to individual features. A personal color system is a recent aesthetic concept that influences color make up and coordination. However, a personal color concept has several weaknesses. For example, type classification is qualitative and not quantitative because its measuring system is a sensory test with no industry standard of personal color system. A quantitative personal color type classification model is the purpose of this study, which can be a solution to above problems. This model is a kind of mapping system in a 3D Cartesian coordinate system which has own axes, Value, Saturation, and Yellowness. The cheek color of the individual sample is also independent variable and personal color type is a dependent variable. In order to construct the model, this study conducted a colorimetric survey on a 993 sampling frequency of Korean women in their 20s and 30s. The significance of this study is as follows. First, through this study, personal color system is established on quantitative color space; in addition, the model has flexibility and scalability because it consisted of independent axis that allows for the inclusion of any other critical variable in the form of variable axis.

A Perceptually-Adaptive High-Capacity Color Image Watermarking System

  • Ghouti, Lahouari
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권1호
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    • pp.570-595
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    • 2017
  • Robust and perceptually-adaptive image watermarking algorithms have mainly targeted gray-scale images either at the modeling or embedding levels despite the widespread availability of color images. Only few of the existing algorithms are specifically designed for color images where color correlation and perception are constructively exploited. In this paper, a new perceptual and high-capacity color image watermarking solution is proposed based on the extension of Tsui et al. algorithm. The $CIEL^*a^*b^*$ space and the spatio-chromatic Fourier transform (SCFT) are combined along with a perceptual model to hide watermarks in color images where the embedding process reconciles between the conflicting requirements of digital watermarking. The perceptual model, based on an emerging color image model, exploits the non-uniform just-noticeable color difference (NUJNCD) thresholds of the $CIEL^*a^*b^*$ space. Also, spread-spectrum techniques and semi-random low-density parity check codes (SR-LDPC) are used to boost the watermark robustness and capacity. Unlike, existing color-based models, the data hiding capacity of our scheme relies on a game-theoretic model where upper bounds for watermark embedding are derived. Finally, the proposed watermarking solution outperforms existing color-based watermarking schemes in terms of robustness to standard image/color attacks, hiding capacity and imperceptibility.