Parameter Estimation and Segmentation of Noisy or Textured Images using the EM Algorithm and MPM Estimation
نویسندگان
چکیده
In this paper we present a new algorithm for seg-mentation of noisy or textured images using the expectation -maximization (EM) algorithm for estimating parameters of the probability mass function of the pixel class labels and the maximization of the posterior marginals (MPM) criterion for the segmentation operation. A Markov random eld (MRF) model is used for the pixel class labels. We present experimental results demonstrating the use of the new algorithm on synthetic images and medical imagery.
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