A novel method for computing the partition function of Markov random field images using Monte Carlo simulations.
Gerasimos PotamianosJohn GoutsiasPublished in: ICASSP (1991)
Keyphrases
- markov random field
- monte carlo simulation
- mrf model
- pairwise
- partition function
- energy function
- segmentation method
- parameter estimation
- dynamic programming
- belief propagation
- similarity measure
- random fields
- graph cuts
- higher order
- image restoration
- markov chain
- graphical models
- monte carlo
- segmentation algorithm
- objective function
- probabilistic model
- computer vision
- loopy belief propagation
- gaussian process
- input image
- pixel values
- energy minimization
- maximum a posteriori
- closed form