Estimation of generalized mixture in the case of correlated sensors
Pieczynski, W.
Bouvrais, J.
Michel, C.
Dept. Signal et Image, Inst. Nat. des Telecommun., Evry;
This paper appears in: Image Processing, IEEE Transactions on
Publication Date: Feb 2000
Volume: 9,
Issue: 2
On page(s): 308-312
ISSN: 1057-7149
References Cited: 18
CODEN: IIPRE4
INSPEC Accession Number: 6527075
Digital Object Identifier: 10.1109/83.821750
Current Version Published: 2002-08-06
Abstract
This paper deals with unsupervised Bayesian classification of
multidimensional data. We propose an extension of a previous method of
generalized mixture estimation to the correlated sensors case. The
method proposed is valid in the independent data case, as well as in the
hidden Markov chain or field model case, with known applications in
signal processing, particularly speech or image processing. The
efficiency of the method proposed is shown via some simulations
concerning hidden Markov fields, with application to unsupervised image
segmentation
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