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Hidden Markov fields and unsupervised segmentation of images

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4 Author(s)
Allagnat, O. ; Ecole Nat. Superieure des Telecommun. de Bretagne, France ; Boucher, J.-M. ; Dong-Chen He ; Pieczynski, W.

Deals with unsupervised Bayesian segmentation of images. The authors introduce a new algorithm based on a recent general method of estimation in the case of incomplete data (iterative conditional estimation). The efficiency of the method is compared with a recent algorithm based on the stochastic gradient by L. Younes (1989). Results of numerous simulations are given and an application to a real radar image is also derived

Published in:

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Date of Conference:

30 Aug-3 Sep 1992

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