Presents a new algorithm for segmentation 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 field (MRF) model is used for the pixel class labels. The authors present experimental results demonstrating the use of the new algorithm on synthetic images and medical imagery.<>
Parameter estimation and segmentation of noisy or textured images using the EM algorithm and MPM estimation
Proceedings of 1st International Conference on Image Processing ; 2 ; 650-654 vol.2
1994-01-01
430528 byte
Conference paper
Electronic Resource
English
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