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Parameter estimation and segmentation of noisy or textured images using the EM algorithm and MPM estimation

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2 Author(s)
Comer, M.L. ; Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA ; Delp, E.J.

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

Published in:

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference  (Volume:2 )

Date of Conference:

13-16 Nov 1994