General scheme of region competition based on scale space
文献类型:期刊论文
作者 | Tang, M![]() ![]() |
刊名 | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
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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 |
推荐引用方式 GB/T 7714 | 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. |
入库方式: OAI收割
来源:自动化研究所
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