Image segmentation using the double Markov random field, with application to land use estimation.
Georgios A. StefanouSimon P. WilsonPublished in: ICIP (1) (2001)
Keyphrases
- markov random field
- image segmentation
- parameter estimation
- graph cuts
- energy function
- mrf model
- map estimation
- belief propagation
- higher order
- random fields
- pairwise
- maximum a posteriori
- energy minimization
- image restoration
- markov random field model
- conditional random fields
- prior model
- potential functions
- message passing
- region growing
- image processing
- maximum a posteriori probability
- textured images
- higher order cliques
- em algorithm
- label field
- segmentation method
- mrf models
- loopy belief propagation
- neighboring pixels
- active contours
- multiscale
- prior knowledge
- non stationary
- long range
- particle filter
- shape prior