Accuracy of MAP segmentation with hidden Potts and Markov mesh prior models via Path Constrained Viterbi Training, Iterated Conditional Modes and Graph Cut based algorithms.
Ana Georgina FlesiaJosef BaumgartnerJavier GimenezJorge MartinezPublished in: CoRR (2013)
Keyphrases
- markov random field
- iterated conditional modes
- graph cuts
- prior models
- prior model
- maximum a posteriori
- image segmentation
- shape prior
- energy function
- segmentation algorithm
- min cut max flow
- loopy belief propagation
- multiscale
- region growing
- belief propagation
- energy minimization
- potential functions
- object segmentation
- segmentation method
- prior information
- cross validation
- conditional random fields
- genetic algorithm
- topic models
- image restoration
- natural images
- markov chain
- least squares
- evolutionary algorithm
- image processing