A new approach for image segmentation with shape priors based on the Potts model.
Ying GuMark D. RiceWei XiongLiyuan LiPublished in: APSIPA (2017)
Keyphrases
- shape prior
- potts model
- image segmentation
- markov random field
- graph cuts
- max flow
- multi label
- energy function
- min cut
- deformable models
- interactive segmentation
- object segmentation
- active contours
- energy minimization
- segmentation algorithm
- level set
- cellular automata
- shape model
- segmentation method
- energy functional
- reaction diffusion
- user interaction
- pose invariant
- region growing
- statistical models
- global optimization
- maximum a posteriori
- parameter estimation
- multiscale
- computer vision
- active contour model
- level set method
- prior knowledge
- image processing
- texture segmentation
- image analysis
- shape matching
- medical imaging
- graph partitioning
- perceptual grouping
- pairwise