Institutional Repository of Computer Application Research Laboratory
| MCA aided geodesic active contours for image segmentation with textures | |
Shan, Hao ; He, Changtao; Wang, Na
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| 2014-08-01 | |
| Source Publication | PATTERN RECOGNITION LETTERS
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| Volume | 45Pages:235-243 |
| Contribution Rank | 1 |
| Abstract | 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. |
| Keyword | Morphological Component analysis\diversity Image Segmentation Sparse Representation Curvelets Geodesic Active Contours Texture Separation |
| Subtype | Article |
| DOI | 10.1016/j.patrec.2014.04.018 |
| WOS Headings | Science & Technology ; Technology |
| Indexed By | SCI |
| Language | 英语 |
| WOS Keyword | GRADIENT VECTOR FLOW ; MAGNETIC-RESONANCE IMAGES ; MORPHOLOGICAL DIVERSITY ; MODEL ; SNAKES ; ALGORITHMS ; EVOLUTION ; OBJECTS ; REPRESENTATIONS ; DECOMPOSITION |
| WOS Research Area | Computer Science |
| WOS Subject | Computer Science, Artificial Intelligence |
| WOS ID | WOS:000337219200031 |
| Project Number | Y1000201 ; 11173042 ; XBBS201222 |
| Funding Organization | Natural Science Foundation of Xinjiang, China ; National Natural Science Foundation of China ; Western Light PhD Financial Aiding Project |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/622 |
| Collection | 计算机技术应用研究室 其它 |
| Affiliation | Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Peoples R China |
| First Author Affilication | Xinjiang Astronomical Observatory, Chinese Academy of Sciences |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| MCA aided geodesic a（5573KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-ND | View Application Full Text | |
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