Simultaneous estimation of the Markov random field parameters and the classes for image segmentation.
Xin LiuImam Samil YetikMiles N. WernickPublished in: ICIP (2008)
Keyphrases
- markov random field
- parameter estimation
- image segmentation
- maximum a posteriori probability
- mrf model
- graph cuts
- label field
- mrf models
- belief propagation
- map estimation
- maximum likelihood estimation
- maximum a posteriori
- image restoration
- energy function
- partition function
- energy minimization
- random fields
- pairwise
- higher order
- conditional random fields
- message passing
- computer vision
- potential functions
- markov random field model
- posterior distribution
- generalized gaussian
- image processing
- expectation maximization
- textured images
- prior model
- neighboring pixels
- segmentation algorithm
- texture segmentation
- active contours
- maximum likelihood
- maximum a posterior
- level set
- multiscale
- probability distribution
- machine learning
- shape prior
- texture model
- unsupervised segmentation
- closed form solutions
- object segmentation
- shape model