Image Segmentation Based on the Integration of Markov Random Fields and Deformable Models.
Ting ChenDimitris N. MetaxasPublished in: MICCAI (2000)
Keyphrases
- deformable models
- markov random field
- image segmentation
- parameter estimation
- graph cuts
- belief propagation
- mrf model
- medical image analysis
- random fields
- energy function
- image restoration
- object boundaries
- multiscale
- level set method
- maximum a posteriori
- image processing
- energy minimization
- shape prior
- low level vision
- conditional random fields
- medical images
- computer vision
- image analysis
- region growing
- potential functions
- active contours
- expectation maximization
- higher order
- loopy belief propagation
- map estimation
- medical imaging
- object segmentation
- segmentation method
- gray level
- segmentation algorithm
- level set
- texture segmentation
- prior model
- superpixels
- markov networks
- image registration
- unsupervised segmentation
- prior knowledge
- pairwise
- markov random field model
- piecewise constant functions