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Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure
Chen, SC; Zhang, DQ
2004-08-01
发表期刊IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
卷号34期号:4页码:1907-1916
文章类型Article
摘要Fuzzy 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.
关键词Fuzzy C-means Clustering (Fcm) Image Segmentation Kernel-induced Distance Measures Kernel Methods Robustness Spatial Constraints
WOS标题词Science & Technology ; Technology
关键词[WOS]C-MEANS ALGORITHM ; FUZZY CLUSTERING-ALGORITHM ; PATTERN-RECOGNITION ; MRI DATA ; SYSTEMS
收录类别SCI
语种英语
WOS研究方向Automation & Control Systems ; Computer Science
WOS类目Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000222721000025
引用统计
被引频次:472[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9990
专题09年以前成果
作者单位1.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
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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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