Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/357
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dc.contributor.authorMohapatra, P J-
dc.contributor.authorNanda, P K-
dc.contributor.authorPanda, Sucheta-
dc.date.accessioned2006-11-20T04:43:08Z-
dc.date.available2006-11-20T04:43:08Z-
dc.date.issued2006-
dc.identifier.citationProceedings of Soft Computing Technique for Engineering Applications SCT-2006, March 24-26, Rourkela, Indiaen
dc.identifier.urihttp://hdl.handle.net/2080/357-
dc.descriptionCopyright for this article belongs to National Institute of Technology, Rourkela, Indiaen
dc.description.abstractIn 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.extent899606 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherNIT, Rourkela, Indiaen
dc.subject(I1, I2, I3) color Spaceen
dc.subjectMAP Estimateen
dc.subjectSegmentationen
dc.subjectSimulated Annealing (SA)en
dc.titleColor Image Segmentation Using MRF Model and Simulated Annealingen
dc.typeArticleen
Appears in Collections:Conference Papers

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