Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields.
Haluk DerinHoward ElliottRoberto CristiDonald GemanPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (1984)
Keyphrases
- binary images
- markov random field
- low level vision
- image segmentation
- energy function
- component labeling
- connected component labeling
- potential functions
- maximum a posteriori
- smoothing algorithm
- mrf models
- connected components
- higher order
- belief propagation
- image restoration
- iterated conditional modes
- pairwise
- level set
- graph cuts
- loopy belief propagation
- textured images
- gray level images
- random fields
- parameter estimation
- gray level
- active contours
- message passing
- min cut
- energy minimization
- segmentation algorithm
- gray scale
- multiscale