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MCA aided geodesic active contours for image segmentation with textures

文献类型：期刊论文

作者Shan, Hao; He, Changtao; Wang, Na
刊名PATTERN RECOGNITION LETTERS
出版日期2014-08-01
卷号45页码:235-243
关键词Morphological component analysis\diversity Image segmentation Sparse representation Curvelets Geodesic active contours Texture separation
英文摘要Models of geodesic active contour (GAC) cannot usually distinguish one morphological component from another under conditions of complex textures. This paper proposes a morphological component analysis (MCA) aided GAC, namely MCA-GAC. The central effort is to segment image objects accurately and overcome obstacles from the undesired textures during the contour evolution. MCA-GAC takes advantage of the iterative property of MCA and optimal sparse representation of curvelet for edges. Segmentation is accomplished by evolving MCA-GACs through curvelet scales and MCA iterations. MCA-GAC is testified under conditions of textures and additive Gaussian white random noise. Experimental results demonstrate that MCA-GAC has competitive and practical prospects in the tasks of segmentation. (C) 2014 Elsevier B.V. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]GRADIENT VECTOR FLOW ; MAGNETIC-RESONANCE IMAGES ; MORPHOLOGICAL DIVERSITY ; MODEL ; SNAKES ; ALGORITHMS ; EVOLUTION ; OBJECTS ; REPRESENTATIONS ; DECOMPOSITION
收录类别SCI
语种英语
WOS记录号WOS:000337219200031
源URL[http://ir.xao.ac.cn/handle/45760611-7/622]  
专题新疆天文台_计算机技术室
新疆天文台_其它
作者单位Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Peoples R China
推荐引用方式
GB/T 7714		 Shan, Hao,He, Changtao,Wang, Na. MCA aided geodesic active contours for image segmentation with textures[J]. PATTERN RECOGNITION LETTERS,2014,45:235-243.
APA Shan, Hao,He, Changtao,&Wang, Na.(2014).MCA aided geodesic active contours for image segmentation with textures.PATTERN RECOGNITION LETTERS,45,235-243.
MLA Shan, Hao,et al."MCA aided geodesic active contours for image segmentation with textures".PATTERN RECOGNITION LETTERS 45(2014):235-243.

入库方式： OAI收割

来源：新疆天文台

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