• 제목/요약/키워드: Color-Shape

검색결과 1,818건 처리시간 0.028초

Color Image Coding Based on Shape-Adaptive All Phase Biorthogonal Transform

  • Wang, Xiaoyan;Wang, Chengyou;Zhou, Xiao;Yang, Zhiqiang
    • Journal of Information Processing Systems
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    • 제13권1호
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    • pp.114-127
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    • 2017
  • This paper proposes a color image coding algorithm based on shape-adaptive all phase biorthogonal transform (SA-APBT). This algorithm is implemented through four procedures: color space conversion, image segmentation, shape coding, and texture coding. Region-of-interest (ROI) and background area are obtained by image segmentation. Shape coding uses chain code. The texture coding of the ROI is prior to the background area. SA-APBT and uniform quantization are adopted in texture coding. Compared with the color image coding algorithm based on shape-adaptive discrete cosine transform (SA-DCT) at the same bit rates, experimental results on test color images reveal that the objective quality and subjective effects of the reconstructed images using the proposed algorithm are better, especially at low bit rates. Moreover, the complexity of the proposed algorithm is reduced because of uniform quantization.

CONTINUOUS PERSON TRACKING ACROSS MULTIPLE ACTIVE CAMERAS USING SHAPE AND COLOR CUES

  • Bumrungkiat, N.;Aramvith, S.;Chalidabhongse, T.H.
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.136-141
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    • 2009
  • This paper proposed a framework for handover method in continuously tracking a person of interest across cooperative pan-tilt-zoom (PTZ) cameras. The algorithm here is based on a robust non-parametric technique for climbing density gradients to find the peak of probability distributions called the mean shift algorithm. Most tracking algorithms use only one cue (such as color). The color features are not always discriminative enough for target localization because illumination or viewpoints tend to change. Moreover the background may be of a color similar to that of the target. In our proposed system, the continuous person tracking across cooperative PTZ cameras by mean shift tracking that using color and shape histogram to be feature distributions. Color and shape distributions of interested person are used to register the target person across cameras. For the first camera, we select interested person for tracking using skin color, cloth color and boundary of body. To handover tracking process between two cameras, the second camera receives color and shape cues of a target person from the first camera and using linear color calibration to help with handover process. Our experimental results demonstrate color and shape feature in mean shift algorithm is capable for continuously and accurately track the target person across cameras.

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복소 색상 모델을 이용한 회전 불변 색상-모양 기술 방법 (Rotation Invariant Color-Shape Description Method using Complex Color Model)

  • 최민석
    • 문화기술의 융합
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    • 제10권6호
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    • pp.869-874
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    • 2024
  • 다양한 디지털 장비의 보급과 통신 및 네트워크 기술의 발전, 그리고 개인형 미디어 서비스의 확산은 멀티미디어 콘텐츠의 생산 및 유통을 폭발적으로 증가시켰다. 이미지나 동영상 같은 멀티미디어 데이터의 인식 및 검색은 데이터의 물리적인 특징들을 분석하여 정량화하고 이를 비교하는 내용 기반 인식 및 검색 방법이 요구된다. 이미지의 내용 기반 검색에서는 색상과 모양이 중요한 시각적 특징이 된다. 본 논문에서는 색상 특징과 모양 특징을 통합하여 표현하기 위해 제안된 복소 색상 모델을 사용하여 색상이 공간적으로 분포된 모양을 이미지의 회전과 무관하게 표현하고 인식하는 방법을 제안한다. 복소 색상 모델에 따라 변환된 복소 색상 이미지에 대하여 회전 불변 모양 기술자를 적용하면 회전과 무관하게 색상-모양을 표현하고 인식할 수 있음을 실험을 통하여 확인하였다.

노인여성의 얼굴색과 얼굴 형태 분석 (A Study on the Facial Color & Shape of an Elderly Women)

  • 김애경;이경희
    • 한국의류산업학회지
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    • 제11권1호
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    • pp.103-111
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    • 2009
  • This study is to help make-up and coordination for image-making after analysis of facial color and shape of elderly women. The data was analyzed 55-75 years old 212 elderly women's face color and pictures by means of SPSS 12.0 statistics package. On the basis of the colorimetric data on face by Minolta CM2500D, this research considered the analysis of facial color, patternization of facial color and its analysis by age group; for the analysis of facial shape, this research patternized facial shape and analyzed its characteristic using both contour-based facial shape analysis and Kamata facial shape analysis. As for facial color, it was found that the lower age bracket has bright and reddish face, looking fine, while the higher age bracket has a conspicuously yellowish face, looking bad. The community of facial color is classified as 3 types and it was found out that the facial color of the subjects belonging to Type 3, whose L value is the largest, looked the brightest; the face of the subjects belonging to Type 2, whose a value is the largest, was much tinged with red, and the face of the subjects belonging to Type 1, whose b value is the largest were tinged with yellow. According to the analysis of facial shape, there appeared oval & long forms in the classification by contour, while there appeared a lot of downward-directed power and inner-directed power in the classification by Kamata, which is believed to reflect the phenomenon that their chin line becomes roundish and the facial length also tend to be longer due to aging.

모양색 정보와 피부색 정보를 이용한 성인 영상 검출에 관한 연구 (Adult Image Blocking Conclusion both Shape and Skin in Color)

  • 이종범;김종일;정구민
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.795-796
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    • 2006
  • Recently, blocking harmful contents such as adult images has been widely researched. However, most of adult image blocking methods use flush color model without shape information. In this paper, we present a new adult image blocking methods based on shape and color information. In the first step, the shape is considered. In the second step, adult images are detected using skin color model. Considering both shape and color, the detection rate can be increased. We evaluate adult image detection performance using sample images.

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내용 기반 이미지 검색에서 효율적인 색상-모양 표현을 위한 복소 색상 모델 (Complex Color Model for Efficient Representation of Color-Shape in Content-based Image Retrieval)

  • 최민석
    • 디지털융복합연구
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    • 제15권4호
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    • pp.267-273
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    • 2017
  • 각종 디지털 기기와 통신 기술의 발전으로 다양한 멀티미디어 콘텐츠의 생산과 유통이 폭발적으로 증가하고 있다. 이미지와 동영상 등의 멀티미디어 데이터의 검색을 위해서는 기존의 문자 위주의 검색과는 다른 접근 방식이 필요하다. 이미지의 여러 가지 물리적인 특징들을 정량화 하여 분석하고 이를 비교하여 유사한 이미지를 검색하는 내용기반 이미지 검색에서 색상과 모양은 주요 물리적 특징들이다. 지금까지는 색상과 모양을 서로 독립적인 특징으로 분리하여 이용하였지만, 인지적 관점에서 두 특징은 밀접한 관련이 있다. 본 논문에서는 색상과 모양 특징을 동시에 표현하기 위하여 3차원 색상 정보를 2차원 복소수 형식으로 표현하는 복소 색상 모델을 이용하여 색상의 공간적 분포 모양을 기술하는 방법을 제안한다. 복소 이미지를 주파수 변환한 후 저주파 영역의 소수의 계수만으로 복원하는 실험을 통하여 제안된 방법이 색상의 공간적 분포 모양을 효율적으로 표현할 수 있음을 보였다.

Content-based image retrieval using a fusion of global and local features

  • Hee Hyung Bu;Nam Chul Kim;Sung Ho Kim
    • ETRI Journal
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    • 제45권3호
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    • pp.505-517
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    • 2023
  • Color, texture, and shape act as important information for images in human recognition. For content-based image retrieval, many studies have combined color, texture, and shape features to improve the retrieval performance. However, there have not been many powerful methods for combining all color, texture, and shape features. This study proposes a content-based image retrieval method that uses the combined local and global features of color, texture, and shape. The color features are extracted from the color autocorrelogram; the texture features are extracted from the magnitude of a complete local binary pattern and the Gabor local correlation revealing local image characteristics; and the shape features are extracted from singular value decomposition that reflects global image characteristics. In this work, an experiment is performed to compare the proposed method with those that use our partial features and some existing techniques. The results show an average precision that is 19.60% higher than those of existing methods and 9.09% higher than those of recent ones. In conclusion, our proposed method is superior over other methods in terms of retrieval performance.

한방 찰색 구현을 위한 디지털 색체계의 피부색 분석에의 적용 (Application of Skin Color Analysis about Digital Color System for Oriental Medicine Observing a Person's Shape and Color Implementation)

  • 이세환;조동욱;김봉현
    • 한국통신학회논문지
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    • 제33권2C호
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    • pp.184-191
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    • 2008
  • 한의학 기반 진단 방법은 서양의학과 달리 병원에 내원하지 않고 네트웍이나 각종 통신 장비 등을 통한 질병진단이 가능하다. 특히 한의학의 뛰어난 진단 방법 중 하나인 망진 기법을 적용한 진단 기술 개발은 초고령화사회 진입에 따른 국가적 부담인 의료비 절감에 크게 기여할 수 있는 방법으로 여겨지고 있다. 이때 망진법에서 가장 중요한 것이 병색을 살피는 일 즉, 찰색인데 이를 기기로 구현할 수 있는 방법론의 개발과 적용 가능한 시스템의 구축이 가장 중요한 일이 된다. 이를 위해 본 논문에서는 망진 중 찰색 구현을 위한 연구를 행하였다. 특히 통상 인체의 주요 장기인 오장은 오색으로 병색이 안면에 나타나므로 이 오색을 구현할 수 있는 색 좌표계의 정립이 가장 중요한 일이 되며 이를 위해 색 분석을 실행하여 진단기술 개발에 있어서의 디지털 색 체계 분석을 위한 실험을 진행하였다. 끝으로 실험을 통해 찰색에 필요한 오색 추출에 맞는 디지털 색 체계를 선정하고 이를 통한 실제 피부색 분석 및 비교에 대한 실험을 수행하여 찰색 구현을 위한 디지털 색체계의 가장 적합한 색 좌표계가 어떤 것인지를 제시하고자 한다.

컴퓨터 시각을 이용한 버얼리종 건조 잎 담배의 등급판별 가능성 (Feasibility in Grading the Burley Type Dried Tobacco Leaf Using Computer Vision)

  • 조한근;백국현
    • Journal of Biosystems Engineering
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    • 제22권1호
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    • pp.30-40
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    • 1997
  • A computer vision system was built to automatically grade the leaf tobacco. A color image processing algorithm was developed to extract shape, color and texture features. An improved back propagation algorithm in an artificial neural network was applied to grade the Burley type dried leaf tobacco. The success rate of grading in three-grade classification(1, 3, 5) was higher than the rate of grading in six-grade classification(1, 2, 3, 4, 5, off), on the average success rate of both the twenty-five local pixel-set and the sixteen local pixel-set. And, the average grading success rate using both shape and color features was higher than the rate using shape, color and texture features. Thus, the texture feature obtained by the spatial gray level dependence method was found not to be important in grading leaf tobacco. Grading according to the shape, color and texture features obtained by machine vision system seemed to be inadequate for replacing manual grading of Burely type dried leaf tobacco.

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웹이미지 분석을 통한 모던 한식 메뉴 푸드스타일링 연구 - 미쉐린가이드 서울 2020 스타레스토랑을 중심으로 - (A Study on Modern Korean Menu Food Styling through Web Image Analysis - Focusing on the Michelin Guide Seoul 2020 Star Restaurant -)

  • 류무희
    • 한국식생활문화학회지
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    • 제35권6호
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    • pp.538-552
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    • 2020
  • Tis study was an attempt to systematically analyze the characteristics of modern Korean food styling using the menu image photos of the Michelin Guide Seoul 2020 restaurants. The first sampling was conducted on the 27th of March 2020 and the second on the 27th of October 2020. A collection of images on the web and 442 photographic cases obtained by a search through theoretical background literature and research papers were studied by a qualitative analysis method. First, the food styling contents were analyzed and based on that, the food styling characteristics of the menus of 11 restaurants in Korea including the contemporary restaurants were considered. The analysis revealed several aspects of Korean food styling. First, food styling appeared to have three major characteristics: color, shape, and container styling. Color styling was further subdivided into single color/similar color, color contrast, source type, and accent color type. The shape/formative styling was classified into figure type, shape type, accessory type, and garnish type, and container styling was categorized as container color type, container shape type, and container material type. Second, the modern Korean food color styling characteristics of Michelin restaurants were categorized in the order of monochromatic/similar type, sauce type, accent color type, and color contrast. In the formative styling category, it was categorized in the order of shape type, small piece type, garnish/garnish type, and figure type. In container styling, container material type and formative type accounted for the major portion of the category. The food styling characteristics of the modern Korean menu were systematized and image examples were presented visually. Please use it as food styling educational material or personal food styling skill.