OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification.
Rodrigo NakamuraDaniel OsakuAlexandre L. M. LevadaFabio Augusto CappabiancoAlexandre X. FalcãoJoão Paulo PapaPublished in: CAIP (2) (2013)
Keyphrases
- markov random field
- optimum path forest
- image classification
- supervised pattern recognition
- mrf model
- graph cuts
- higher order
- parameter estimation
- pairwise
- belief propagation
- random fields
- feature extraction
- decision boundary
- image features
- energy function
- potential functions
- maximum a posteriori
- energy minimization
- conditional random fields
- image segmentation
- nearest neighbor classifier
- bayesian classifier
- strongly connected
- mrf models
- svm classifier
- textured images
- map inference
- computer vision
- map estimation
- upper bound
- low level vision
- probabilistic model