Hidden Markov fields and unsupervised segmentation of images

Deals with unsupervised Bayesian segmentation of images. The authors introduce a new algorithm based on a recent general method of estimation in the case of incomplete data (iterative conditional estimation). The efficiency of the method is compared with a recent algorithm based on the stochastic gradient by L. Younes (1989). Results of numerous simulations are given and an application to a real radar image is also derived.<
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