A genetic algorithm-based segmentation of Markov random field modeled images.
Eun Yi KimS. H. ParkH. J. KimPublished in: IEEE Signal Process. Lett. (2000)
Keyphrases
- markov random field
- mrf model
- textured images
- markov random field model
- image segmentation
- segmentation algorithm
- mrf models
- random fields
- energy function
- graph cuts
- segmentation method
- unsupervised segmentation
- map estimation
- smoothness prior
- neighboring pixels
- belief propagation
- maximum a posteriori
- test images
- energy minimization
- parameter estimation
- iterated conditional modes
- pairwise
- image regions
- higher order
- input image
- label field
- gibbs distribution
- region growing
- image restoration
- prior model
- level set
- maximum a posteriori probability
- pixel values
- object segmentation
- multiple objects
- spatial continuity
- similarity measure
- em algorithm
- image reconstruction
- bayesian framework