Image Segmentation Based on Graph-Cut Models and Probabilistic Graphical Models: A Comparative Study.
Maedeh BeheshtiAlan Wee-Chung LiewPublished in: ICMLC (CCIS volume) (2014)
Keyphrases
- graph cuts
- image segmentation
- probabilistic graphical models
- belief propagation
- markov random field
- energy minimization
- energy function
- graphical models
- shape prior
- graph based image segmentation
- segmentation algorithm
- parameter estimation
- parameter learning
- mean shift
- statistical models
- random fields
- active contours
- first order logic
- random variables
- message passing
- markov networks
- model selection