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	Hybrid methods of spatial credibilistic clustering and particle swarm optimization in high noise image segmentation
	Peihan Wen ; Jian Zhou ; Li Zheng
	2010-10-12 ; 2010-10-12
关键词	Practical Theoretical or Mathematical Experimental/ fuzzy set theory image recognition image segmentation particle swarm optimisation pattern clustering/ hybrid method spatial credibilistic clustering algorithm particle swarm optimization noise image segmentation image processing pattern recognition fuzzy c-means algorithm/ B6135E Image recognition B0250 Combinatorial mathematics B0260 Optimisation techniques C5260B Computer vision and image processing techniques C1160 Combinatorial mathematics C1180 Optimisation techniques
中文摘要	In practice, noisy images (even high noise images) are very common. It's very essential and critical to deal with such images to process real-image segmentation and pattern recognition. In this paper, differences of credibilistic clustering algorithm (CCA) and fuzzy c-means algorithm (FCM) in dealing with noisy images are studied and the research shows that in most cases, CCA performs better than FCM in high noise image segmentation. Based on that, a new kind of fuzzy clustering methods is presented. It combines spatial credibilistic clustering algorithm (SCCA) with particle swarm optimization (PSO) and takes full advantages of them. The advantages that come from CCA in noise image segmentation also help in SCCA, and the imposition of spatial information enlarges the advantage. The addition of PSO helps to improve global search performance; thereby the novel methods overcome the drawback of single clustering methods - local optimal solutions. Computational experiments show that the proposed methods give the best segmentation results when compared with FCM, CCA, spatial fuzzy c-means algorithm (SFCM), SCCA and the PSO incorporated versions of FCM, CCA, and SFCM.
语种	英语
出版者	Chinese Fuzzy Systems Association ; Taiwan
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/80646]
专题	清华大学
推荐引用方式 GB/T 7714	Peihan Wen,Jian Zhou,Li Zheng. Hybrid methods of spatial credibilistic clustering and particle swarm optimization in high noise image segmentation[J],2010, 2010.
APA	Peihan Wen,Jian Zhou,&Li Zheng.(2010).Hybrid methods of spatial credibilistic clustering and particle swarm optimization in high noise image segmentation..
MLA	Peihan Wen,et al."Hybrid methods of spatial credibilistic clustering and particle swarm optimization in high noise image segmentation".(2010).

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