Vein segmentation using shape-based Markov Random Fields.
Phillip G. D. WardNicholas J. FerrisParnesh RanigaAmanda C. L. NgDavid G. BarnesDavid L. DoweGary F. EganPublished in: ISBI (2017)
Keyphrases
- markov random field
- image segmentation
- level set
- energy function
- mrf model
- low level vision
- textured images
- iterated conditional modes
- graph cuts
- mrf models
- scene labeling
- label field
- energy minimization
- prior model
- maximum a posteriori
- image restoration
- belief propagation
- higher order
- segmentation method
- pairwise
- random fields
- parameter estimation
- segmentation algorithm
- markov random field model
- potential functions
- shape prior
- object segmentation
- min cut
- conditional random fields
- map estimation
- active contours
- discriminative random fields
- loopy belief propagation
- partition function
- labeling problems
- image analysis
- unsupervised segmentation
- gibbs energy
- efficient inference
- image labeling
- color images
- smoothness prior
- object detection
- map inference
- multiscale
- max flow
- iterative conditional
- hidden markov models
- potts model
- medical images
- computer vision
- super resolution
- maximum entropy
- region growing
- markov networks
- shape features