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Estimation of Markov Random Field Parameters Using Ant Colony Optimization for Continuous Domains

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1 Author(s)
Yihua Yu ; Sch. of Sci., Beijing Univ. of Posts & Telecommun., Beijing, China

In this paper, we present a method based on ant colony optimization for continuous domains (ACOC) to estimate the Markov random field parameters, using the maximum likelihood criterion. In order to model the multi-level image patterns more accurately, we define a new clique potential function. Experimental results and performance comparison with the Markov chain Monte Carlo method are provided to illustrate the performance of the ACOC-based method.

Published in:

Engineering and Technology (S-CET), 2012 Spring Congress on

Date of Conference:

27-30 May 2012

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