Self-Validated Labeling of Markov Random Fields for Image Segmentation.
Wei FengJiaya JiaZhi-Qiang LiuPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2010)
Keyphrases
- markov random field
- image segmentation
- graph cuts
- belief propagation
- mrf model
- random fields
- image restoration
- scene labeling
- labeling problems
- parameter estimation
- energy function
- maximum a posteriori
- energy minimization
- multiscale
- loopy belief propagation
- conditional random fields
- gray level
- image labeling
- segmentation algorithm
- active contours
- image analysis
- efficient inference
- message passing
- potential functions
- segmentation method
- object segmentation
- markov random field model
- level set
- computer vision
- potts model
- image processing
- textured images
- texture segmentation
- shape prior
- image understanding
- low level vision
- bayesian framework
- iterative conditional
- unsupervised segmentation
- map estimation
- image segmentation algorithms
- partition function
- graph partitioning
- expectation maximization