A Bayesian approach based on modified Markov random fields for microwave tomography.
Giancarlo FerraiuoloVito PascazioPublished in: IGARSS (2002)
Keyphrases
- markov random field
- graph cuts
- image restoration
- mrf model
- random fields
- belief propagation
- energy function
- maximum a posteriori
- higher order
- energy minimization
- parameter estimation
- potential functions
- image segmentation
- gauss markov random fields
- low level vision
- pairwise
- image reconstruction
- iterative conditional
- map inference
- textured images
- conditional random fields
- piecewise constant functions
- markov networks
- message passing
- loopy belief propagation
- potts model
- lower bound
- map estimation
- efficient inference
- computer vision
- maximum entropy
- information extraction
- denoising
- scene labeling
- non stationary
- image restoration and reconstruction
- cellular automata