Bayes smoothing algorithms for segmentation of images modeled by Markov random fields.
Haluk DerinHoward ElliottRoberto CristiDonald GemanPublished in: ICASSP (1984)
Keyphrases
- markov random field
- image segmentation
- low level vision
- mrf model
- image segmentation algorithms
- mrf models
- textured images
- random fields
- markov random field model
- map estimation
- segmentation method
- energy function
- segmentation algorithm
- image analysis
- maximum a posteriori
- potential functions
- graph cuts
- image understanding
- object recognition
- unsupervised segmentation
- edge detection
- belief propagation
- input image
- iterated conditional modes
- loopy belief propagation
- image restoration
- energy minimization
- prior models
- texture model
- pairwise
- image processing
- test images
- parameter estimation
- texture segmentation
- piecewise constant functions
- computer vision
- natural images
- min cut
- higher order
- image features
- medical images
- scene labeling
- gauss markov random fields
- smoothness prior
- maximum a posteriori probability
- smoothing algorithm
- level set
- active contours
- conditional random fields
- shape prior