Some Stationaries Hidden Markov Models

Abstract

This paper presents four stationaries models of Markov used in image segmentation, such as: Hidden Markov Chain with Independent Noise, Hidden Markov Chain, Pairwise Markov Chain and Pairwise Markov Chain with Independent Noise. We carry out a comparative study between these models, this comparaison is in level of segmentation quality. From the values of PSNR index and error rate, Pairwise Markov Chain provides the best results of segmentation, especially, when the images to be segmented are noised.

 Keywords: HMC-IN, HMC, PMC, PMC-IN, EM, MPM.