Image segmentation Using Parallel Tabu Search Algorithm and MRF Model

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/361

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DC Field	Value	Language
dc.contributor.author	Nanda, P K	-
dc.contributor.author	Patra, D	-
dc.date.accessioned	2006-11-20T08:01:52Z	-
dc.date.available	2006-11-20T08:01:52Z	-
dc.date.issued	2005	-
dc.identifier.citation	Proceedings of the National Conference on Communication, NCC-2005, Jan 28-30,2005, Kharagpur, India, P 336-340	en
dc.identifier.uri	http://hdl.handle.net/2080/361	-
dc.description	Copyright for this article belongs to the publisher of the proceedings	en
dc.description.abstract	In the paper, we propose Tabu Search (TS) based schemes for image segmentation using Markov Random Field (MRF) model. The segmentation problem is formulated as pixel labeling problem and the MAP estimates of the labels were obtained by the two proposed TS algorithms. The TS algorithm was parallelized to improve the overall performance of the scheme. The performance of the algorithms was compared with Simulated Annealing (SA) algorithm and the algorithms outperformed the SA algorithm. The algorithms were tested for synthetic as well as real images	en
dc.format.extent	287958 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IIT, Kharagpur	en
dc.title	Image segmentation Using Parallel Tabu Search Algorithm and MRF Model	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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