A Bayesian approach incorporating Rissanen complexity for learning Markov random field texture models.
Kurt R. SmithMichael I. MillerPublished in: ICASSP (1990)
Keyphrases
- markov random field
- mrf models
- random fields
- contextual constraints
- texture model
- potential functions
- parameter estimation
- textured images
- pairwise
- belief propagation
- graph cuts
- probabilistic model
- image restoration
- maximum a posteriori
- texture segmentation
- undirected graphical models
- markov random field model
- graphical models
- conditional random fields
- map estimation
- prior model