Maximum Pseudolikelihood Estimation for Mixture-Markov Random Field Segmentation of the Brain.
Amy ChanIan A. WoodJurgen FrippPublished in: DICTA (2016)
Keyphrases
- markov random field
- parameter estimation
- label field
- mrf model
- energy function
- image segmentation
- conditional random fields
- graph cuts
- mrf models
- maximum a posteriori
- textured images
- iterated conditional modes
- map estimation
- markov networks
- prior model
- random fields
- markov fields
- higher order
- belief propagation
- image restoration
- spatial continuity
- segmentation algorithm
- shape prior
- segmentation method
- markov random field model
- pairwise
- expectation maximization
- object segmentation
- maximum likelihood
- energy minimization
- gibbs energy
- multiscale
- labeling problems
- level set
- discriminative random fields
- posterior distribution
- bayesian estimation
- potts model
- maximum a posteriori probability
- mrf optimization
- message passing
- mixture model
- image intensity
- medical images
- em algorithm
- active contours
- edge detection
- gaussian distribution
- computer vision