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	Particle swarm optimization based spatial credibilistic clustering algorithm applied in high noise image segmentation
	Wen, Peihan ; Zhou, Jian ; Zheng, Li
	2010-05-10 ; 2010-05-10
会议名称	PROCEEDING OF THE SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES ; 7th International Conference on Information and Management Sciences ; Urumchi, PEOPLES R CHINA ; Web of Science
关键词	image segmentation fuzzy clustering spatial credibilistic clustering algorithm particle swarm optimization C-MEANS ALGORITHM CONSTRAINTS Computer Science, Information Systems Computer Science, Theory & Methods Information Science & Library Science Management
中文摘要	In practice, noise images even high noise images are very common. It's very essential and critical to deal with such kind of 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 noise images are studied and the research shows that in most case, CCA performs better than FCM in high noise image segmentation. Based on that, a new kind of fuzzy clustering method is presented. It combines spatial credibilistic Clustering algorithm (SCCA) with particle swarm optimization (PSO) and takes full advantages of them. The advantage of CCA in noise image segmentation is also suitable for SCCA, and the imposition of spatial information enlarges the: advantage. The combination of PSO helps to improve global search performance, thereby, the novel methods overcome the drawback of single clustering method - local optimal solution. Computational experiments show that the proposed methods give the best segmentation results when comparing with fuzzy c-means algorithm, credibilistic clustering algorithm, spatial credibilistic clustering algorithm and the PSO incorporated versions of FCM and CCA.
会议录出版者	CALIFORNIA POLYTECHNIC STATE UNIV ; SAN LUIS OBISPO ; CAL POLY, SAN LUIS OBISPO, CA 93407 USA
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/18979]
专题	清华大学
推荐引用方式 GB/T 7714	Wen, Peihan,Zhou, Jian,Zheng, Li. Particle swarm optimization based spatial credibilistic clustering algorithm applied in high noise image segmentation[C]. 见:PROCEEDING OF THE SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES, 7th International Conference on Information and Management Sciences, Urumchi, PEOPLES R CHINA, Web of Science.

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