Segmentation of Dynamic N-D Data Sets via Graph Cuts Using Markov Models.
Yuri BoykovVivian S. LeeHenry RusinekRavi BansalPublished in: MICCAI (2001)
Keyphrases
- graph cuts
- markov models
- segmentation algorithm
- energy function
- shape prior
- object segmentation
- image segmentation
- interactive segmentation
- interactive image segmentation
- graph based image segmentation
- random walker
- markov model
- spatial coherence
- energy minimization
- markov random field
- graph cut segmentation
- higher order
- hidden markov models
- energy minimization framework
- foreground background segmentation
- maximum entropy
- belief propagation
- segmentation method
- graph cut optimization
- min cut
- min cut max flow
- automatic segmentation
- level set
- conditional random fields
- active contours
- robust segmentation
- accurate segmentation
- shape constraints
- labeling problems
- energy functional
- pairwise
- markov chain
- special case
- image processing
- undirected graph
- similarity measure
- prior knowledge