摘要: In this paper we present a new algorithm for segmentation of noisy or textured images using multiresolution Bayesian approach. Our is different from previously proposed techniques in that use Gaussian autoregressive (AR) model the pyramid representation observed image. also approximates "maximization posterior marginals" (MPM) estimate pixel class labels at each resolution, coarsest to finest, unlike techniques, which have been based on MAP estimation. Experimental results are presented demonstrate performance algorithm.
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