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General scheme of region competition based on scale space
Tang, M; Ma, SD
Source PublicationIEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
2001-12-01
Volume23Issue:12Pages:1366-1378
SubtypeArticle
AbstractIn 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.
KeywordNonparametric Probability Model Region Competition Region Growing Scale Space-based Classification Segmentation
WOS HeadingsScience & Technology ; Technology
WOS KeywordIMAGE SEGMENTATION TECHNIQUES
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000172634700003
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Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9819
Collection09年以前成果
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
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.
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