Color Image Segmentation Using MRF Model and Simulated Annealing

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/357

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DC Field	Value	Language
dc.contributor.author	Mohapatra, P J	-
dc.contributor.author	Nanda, P K	-
dc.contributor.author	Panda, Sucheta	-
dc.date.accessioned	2006-11-20T04:43:08Z	-
dc.date.available	2006-11-20T04:43:08Z	-
dc.date.issued	2006	-
dc.identifier.citation	Proceedings of Soft Computing Technique for Engineering Applications SCT-2006, March 24-26, Rourkela, India	en
dc.identifier.uri	http://hdl.handle.net/2080/357	-
dc.description	Copyright for this article belongs to National Institute of Technology, Rourkela, India	en
dc.description.abstract	In this paper color image segmentation is accomplished using MRF model. The problem is formulated as a pixel labeling and the true labels are modeled as the MRF model. The observed color image is assumed to be the degraded version of the true labels. We assume the degradation to be Gaussian distribution. The label estimates are obtained by using Bayesian framework and MAP criterion. The (I1, I2, I3) color model is used to represent the color and the MAP estimate is obtained by Simulated Annealing. Simulation results of both indoor and outdoor scenes are considered to validate our approach.	en
dc.format.extent	899606 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	NIT, Rourkela, India	en
dc.subject	(I1, I2, I3) color Space	en
dc.subject	MAP Estimate	en
dc.subject	Segmentation	en
dc.subject	Simulated Annealing (SA)	en
dc.title	Color Image Segmentation Using MRF Model and Simulated Annealing	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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