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

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contributor.authorNanda, P K-
contributor.authorPatra, D-
date.accessioned2006-11-20T08:01:52Z-
date.available2006-11-20T08:01:52Z-
date.issued2005-
identifier.citationProceedings of the National Conference on Communication, NCC-2005, Jan 28-30,2005, Kharagpur, India, P 336-340en
identifier.urihttp://hdl.handle.net/2080/361-
descriptionCopyright for this article belongs to the publisher of the proceedingsen
description.abstractIn 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 imagesen
format.extent287958 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherIIT, Kharagpuren
titleImage segmentation Using Parallel Tabu Search Algorithm and MRF Modelen
typeArticleen
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