Estimating the Granularity Coefficient of a Potts-Markov Random Field Within a Markov Chain Monte Carlo Algorithm.
Marcelo PereyraNicolas DobigeonHadj BatatiaJean-Yves TourneretPublished in: IEEE Trans. Image Process. (2013)
Keyphrases
- markov random field
- parameter estimation
- loopy belief propagation
- markov chain monte carlo
- mrf model
- energy function
- k means
- graph cuts
- dynamic programming
- belief propagation
- higher order
- random fields
- maximum a posteriori
- image segmentation
- monte carlo
- energy minimization
- simulated annealing
- least squares
- em algorithm
- prior information
- bayesian framework
- conditional random fields
- generative model
- similarity measure