Share Email Print
cover

Proceedings Paper

Statistical image segmentation using triplet Markov fields
Author(s): Wojciech Pieczynski; Dalila Benboudjema; Pierre Lanchantin
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Hidden Markov fields (HMF) are widely used in image processing. In such models, the hidden random field of interest X=(Xs) is a Markov field, and the distribution p(y/x) of the observed random field Y=(Ys) conditional on X is given by the product of p(ys/xs), with s in the set of pixels. The posterior distribution p(x/y) is then a Markov distribution, which affords different Bayesian processing. However, when dealing with the segmentation of images containing numerous classes with different textures, the simple form of the distribution p(y/x) above is insufficient and has to be replaced by a Markov field distribution. This poses problems, because taking p(y/x) Markovian implies that the posterior distribution p(x/y), whose Markovianity is needed to use Bayesian techniques, may no longer be a Markov distribution, and so different model approximations must be made to remedy this. This drawback disappears when considering directly the Markovianity of (X, Y); in these recent 'Pairwise Markov Fields (PMF) models, both p(y/x) and p(x/y) are then Markovian, the first one allowing us to model textures, and the second one allowing us to use Bayesian restoration without model approximations. In this paper we generalize the PMF to Triplet Markov Fields (TMF) by adding a third random field U=(Us) and considering the Markovianity of (X, U, Y). We show that in TMF X is still estimable from Y by Bayesian methods. The parameter estimation with Iterative Conditional Estimation (ICE) is specified and we give some numerical results showing how the use of TMF can improve the classical HMF based segmentation.

Paper Details

Date Published: 13 March 2003
PDF: 10 pages
Proc. SPIE 4885, Image and Signal Processing for Remote Sensing VIII, (13 March 2003); doi: 10.1117/12.463182
Show Author Affiliations
Wojciech Pieczynski, Institut National des Telecommunications (France)
Dalila Benboudjema, Institut National des Telecommunications (France)
Pierre Lanchantin, Institut National des Telecommunications (France)


Published in SPIE Proceedings Vol. 4885:
Image and Signal Processing for Remote Sensing VIII
Sebastiano B. Serpico, Editor(s)

© SPIE. Terms of Use
Back to Top