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Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure
Chen, SC; Zhang, DQ
Source PublicationIEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
2004-08-01
Volume34Issue:4Pages:1907-1916
SubtypeArticle
AbstractFuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for image segmentation. Its effectiveness contributes not only to the introduction of fuzziness for belongingness of each pixel but also to exploitation of spatial contextual information. Although the contextual information can raise its insensitivity to noise to some extent, FCM_S still lacks enough robustness to noise and outliers and is not suitable for revealing non-Euclidean structure of the input data due to the use of Euclidean distance (L-2 norm). In this paper, to overcome the above problems, we first propose two variants, FCM_S-1 and FCM_S-2, of FCM_S to aim at simplifying its computation and then extend them, including FCM_S, to corresponding robust kernelized versions KFCM_S, KFCM_S-1 and KFCM_S-2 by the kernel methods. Our main motives of using the kernel methods consist in: inducing a class of robust non-Euclidean distance measures for the original data space to derive new objective functions and thus clustering the non-Euclidean structures in data; enhancing robustness of the original clustering algorithms to noise and outliers, and still retaining computational simplicity. The experiments on the artificial and real-world datasets show that our proposed algorithms, especially with spatial constraints, are more effective.
KeywordFuzzy C-means Clustering (Fcm) Image Segmentation Kernel-induced Distance Measures Kernel Methods Robustness Spatial Constraints
WOS HeadingsScience & Technology ; Technology
WOS KeywordC-MEANS ALGORITHM ; FUZZY CLUSTERING-ALGORITHM ; PATTERN-RECOGNITION ; MRI DATA ; SYSTEMS
Indexed BySCI
Language英语
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000222721000025
Citation statistics
Cited Times:492[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9990
Collection09年以前成果
Affiliation1.Nanjing Univ Aeronaut & Astronaut, Dept Comp Sci & Engn, Nanjing 210016, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
3.Nanjing Univ Aeronaut & Astronaut, Dept Comp Sci & Engn, Nanjing 210016, Peoples R China
Recommended Citation
GB/T 7714
Chen, SC,Zhang, DQ. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,2004,34(4):1907-1916.
APA Chen, SC,&Zhang, DQ.(2004).Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,34(4),1907-1916.
MLA Chen, SC,et al."Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 34.4(2004):1907-1916.
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