Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors.
Ertunc ErdilSinan YildirimTolga TasdizenMüjdat ÇetinPublished in: IEEE Trans. Image Process. (2019)
Keyphrases
- shape prior
- image segmentation
- markov chain monte carlo
- monte carlo
- graph cuts
- active contours
- level set
- object segmentation
- deformable models
- markov chain
- sampling algorithm
- shape model
- segmentation method
- segmentation algorithm
- generative model
- parameter estimation
- level set segmentation
- variational segmentation
- energy function
- curve evolution
- shape variations
- multiscale
- statistical models
- global optimization
- level set based segmentation
- variational framework
- interactive segmentation
- robust segmentation
- energy minimization
- posterior distribution
- markov random field
- bayesian framework
- active contour model
- prior knowledge
- user interaction
- image processing
- shape representation
- statistical shape
- kernel density estimation
- level set method
- pose invariant
- approximate inference
- energy functional
- prior shape
- image analysis
- region growing
- particle filter
- probability distribution
- graph cut segmentation
- visual tracking
- computer vision
- min cut