Segmentation of textured images using a multiresolution Gaussian autoregressive model

Abstract

We present a new algorithm for segmentation of textured images using a multiresolution Bayesian approach. The new algorithm uses a multiresolution Gaussian autoregressive (MGAR) model for the pyramid representation of the observed image, and assumes a multiscale Markov random field model for the class label pyramid. The models used in this paper incorporate… (More)
DOI: 10.1109/83.748895

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