COMPUTATIONAL BAYESIAN-ANALYSIS OF HIDDEN MARKOV MESH MODELS

Authors
DUNMUR AP TITTERINGTON DM
Citation
Ap. Dunmur et Dm. Titterington, COMPUTATIONAL BAYESIAN-ANALYSIS OF HIDDEN MARKOV MESH MODELS, IEEE transactions on pattern analysis and machine intelligence, 19(11), 1997, pp. 1296-1300
Citations number
24
Categorie Soggetti
Computer Sciences","Computer Science Artificial Intelligence","Engineering, Eletrical & Electronic
Journal title
IEEE transactions on pattern analysis and machine intelligence → ACNP
ISSN journal
01628828
Volume
19
Issue
11
Year of publication
1997
Pages
1296 - 1300
Database
ISI
SICI code
0162-8828(1997)19:11<1296:CBOHMM>2.0.ZU;2-F
Abstract
Versions of the Gibbs Sampler are derived for the analysis of data fro m the hidden Markov Mesh random fields sometimes used in image analysi s. This provides a numerical approach to the otherwise intractable Bay esian analysis of these problems. Detailed formulation is provided for particular examples based on Devijver's [4] Markov Mesh model, and th e BUGS [20] package is used to do the computations. Theoretical aspect s are discussed and a numerical study, based on image analysis, is rep orted.