Application of Markov random fields to smoothing and segmentation of noisy pictures.
Roberto CristiPublished in: ICASSP (1988)
Keyphrases
- markov random field
- image segmentation
- energy function
- low level vision
- mrf model
- textured images
- energy minimization
- random fields
- belief propagation
- image restoration
- iterated conditional modes
- graph cuts
- markov random field model
- label field
- higher order
- smoothing algorithm
- conditional random fields
- parameter estimation
- scene labeling
- image analysis
- discriminative random fields
- prior model
- map estimation
- active contours
- level set
- pairwise
- unsupervised segmentation
- efficient inference
- image intensity
- maximum a posteriori
- shape model
- medical images
- iterative conditional