Unsupervised Multistage Segmentation using Markov Random Field and Maximum Entropy Principle.
Sanghoon LeeMelba M. CrawfordPublished in: ICIP (2) (1994)
Keyphrases
- markov random field
- multistage
- maximum entropy principle
- mrf model
- image segmentation
- energy function
- maximum entropy
- mrf models
- iterated conditional modes
- textured images
- label field
- graph cuts
- markov random field model
- random fields
- energy minimization
- conditional random fields
- prior model
- belief propagation
- segmentation algorithm
- parameter estimation
- higher order
- maximum a posteriori
- generative model
- segmentation method
- single stage
- dynamic programming
- level set
- spatial continuity
- semi supervised
- stochastic programming
- pairwise
- image processing
- map estimation
- loopy belief propagation
- potential functions
- discriminative random fields
- labeling problems
- gibbs energy
- long range
- multiscale
- object segmentation
- message passing
- active learning
- machine learning
- computational properties
- bayesian framework
- linear program
- linear programming
- medical images
- information extraction
- maximum a posterior
- similarity measure
- clustering algorithm
- learning algorithm