中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
General scheme of region competition based on scale space

文献类型:期刊论文

作者Tang, M; Ma, SD
刊名IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
出版日期2001-12-01
卷号23期号:12页码:1366-1378
关键词nonparametric probability model region competition region growing scale space-based classification segmentation
英文摘要In this paper, we propose a general scheme of region competition (GSRC) for image segmentation based on scale space. First, we present a novel classification algorithm to cluster the image feature data according to the generally defined peaks under a certain scale and a scale space-based classification scheme to classify the pixels by grouping the resultant feature data clusters into several classes with a standard classification algorithm. Second, to reduce the resultant segmentation error, we develop a nonparametric probability model from which the functional for GSRC is derived. Third, we design a general and formal approach to automatically determine the initial regions. Finally, we propose the kernel procedure of GSRC which segments an image by minimizing the functional. The strategy adopted by GSRC is first to label pixels whose corresponding regions can be determined in large likelihood, and then to fine-tune the final regions with the help of the nonparametric probability model, boundary smoothing, and region competition. GSRC quantitatively controls the segmentation extent with the scale space-based classification scheme. Although the description of the scheme is nonparametric in this paper, GSRC can also work parametrically if all nonparametric procedures in this paper are substituted with the parametric counterparts.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]IMAGE SEGMENTATION TECHNIQUES
收录类别SCI
语种英语
WOS记录号WOS:000172634700003
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9819]  
专题自动化研究所_09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
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Tang, M,Ma, SD. General scheme of region competition based on scale space[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2001,23(12):1366-1378.
APA Tang, M,&Ma, SD.(2001).General scheme of region competition based on scale space.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,23(12),1366-1378.
MLA Tang, M,et al."General scheme of region competition based on scale space".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 23.12(2001):1366-1378.

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