Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors.
Ertunc ErdilSinan YildirimTolga TasdizenMüjdat ÇetinPublished in: CoRR (2018)
Keyphrases
- shape prior
- image segmentation
- markov chain monte carlo
- monte carlo
- graph cuts
- active contours
- deformable models
- posterior distribution
- object segmentation
- level set
- bayesian framework
- sampling algorithm
- shape model
- segmentation method
- segmentation algorithm
- generative model
- markov chain
- variational segmentation
- parameter estimation
- shape representation
- probability distribution
- energy function
- pose invariant
- kernel density estimation
- interactive segmentation
- markov random field
- variational framework
- prior knowledge
- statistical models
- shape variations
- level set segmentation
- global optimization
- multiscale
- approximate inference
- user interaction
- curve evolution
- robust segmentation
- statistical shape
- level set based segmentation
- prior shape
- energy functional
- energy minimization
- active contour model
- min cut
- region growing
- medical images
- image analysis
- belief propagation
- em algorithm
- bayesian networks
- level set method
- computer vision
- higher order
- prior shape knowledge