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A stochastic dynamical system for image segmentation

Ranjan, Uma S and Satyaranjan, Mohan (2002) A stochastic dynamical system for image segmentation. In: International Conference on Image Processing, 1997. Proceedings, 26-29 Oct 1997 , Santa Barbara, California.

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Image segmentation is formulated as a stochastic process whose invariant distribution is concentrated at points of the desired region. By choosing multiple seed points, different regions can be segmented. The algorithm is based on the theory of time-homogeneous Markov chains and has been largely motivated by the technique of simulated annealing. The method proposed here has been found to perform well on real-world clean as well as noisy images while being computationally far less expensive than stochastic optimisation techniques

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright 1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 15 Mar 2012 07:37
Last Modified: 15 Mar 2012 07:37
URI: http://eprints.iisc.ac.in/id/eprint/43985

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