STRONG MARKOV PROCESSES IN IMAGE MODELLING

This work is intended for reader interested in the theory underlying the application of Markov random fields to image modelling and analysis. It aims at being a contribution to the unification of the theory of Markovian fields as image models. In some of the results presented here previous ambiguiti...

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Bibliographic Details
Published in:Brazilian journal of probability and statistics 1998-12, Vol.12 (2), p.149-194
Main Authors: Bustos, Oscar H., Frery, Alejandro C., Ojeda, Silvia M.
Format: Article
Language:English
Subjects:
Conditional probabilities
Image processing
Integers
Ising model
Markov chains
Markov models
Markov processes
Random variables
Real numbers
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Summary:This work is intended for reader interested in the theory underlying the application of Markov random fields to image modelling and analysis. It aims at being a contribution to the unification of the theory of Markovian fields as image models. In some of the results presented here previous ambiguities found in the literature have been removed. This work is self contained and constructive in essence. Many examples illustrate the ideas exposed.
ISSN:0103-0752
2317-6199