Abstract:
We consider the problem of semi-supervised segmentation of textured images. Recently, reweighted belief propagation has been introduced as a solution for Bayesian inferen...Show MoreMetadata
Abstract:
We consider the problem of semi-supervised segmentation of textured images. Recently, reweighted belief propagation has been introduced as a solution for Bayesian inference with respect to the maximum posterior mode criterion. In this pa per, we show how to adapt reweighted belief propagation to the problem of segmentation of textured images. An adaptive parameter estimation technique is also provided. Then, we compare classical simulated annealing with the recently introduced reweighted belief propagation algorithm, in terms of segmentation results.
Published in: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Date of Conference: 22-27 May 2011
Date Added to IEEE Xplore: 11 July 2011
ISBN Information: