Image transport regression using mixture of experts and discrete Markov random fields.
Fabrice MichelNikos ParagiosPublished in: ISBI (2010)
Keyphrases
- markov random field
- random fields
- image segmentation
- mrf model
- neighboring pixels
- low level vision
- energy function
- prior model
- textured images
- low level vision tasks
- belief propagation
- input image
- map estimation
- prior models
- mrf models
- multiscale
- graph cuts
- markov mesh random field
- higher order
- image analysis
- maximum a posteriori
- image features
- maximum a posterior
- piecewise constant functions
- maximum a posteriori probability
- segmentation method
- conditional random fields
- energy minimization
- image restoration
- image processing
- high resolution
- parameter estimation
- graphical models
- texture model
- edge detection
- map inference
- non stationary
- pairwise
- object recognition
- computer vision
- natural images
- denoising
- unsupervised image segmentation
- probabilistic model