Image segmentation by fusion of low level and domain specific information via Markov Random Fields.
Özge Öztimur KaradagFatos T. Yarman-VuralPublished in: Pattern Recognit. Lett. (2014)
Keyphrases
- markov random field
- domain specific information
- low level
- image segmentation
- graph cuts
- high level
- mrf model
- belief propagation
- domain ontology
- figure ground
- random fields
- energy function
- parameter estimation
- higher order
- image restoration
- energy minimization
- maximum a posteriori
- pairwise
- multiscale
- segmentation algorithm
- computer vision
- level set
- potential functions
- image understanding
- loopy belief propagation
- semantic information
- active contours
- textured images
- discriminative random fields
- map inference
- potts model
- conditional random fields
- contextual information
- visual features
- bayesian framework
- keyphrases
- low level vision
- wordnet
- image processing
- metadata