Experiments on image texture classification with K-views classifier, Markov random fields and cooccurrence probabilities.
Chih-Cheng HungDilek KarabudakMinh PhamTommy L. ColemanPublished in: IGARSS (2004)
Keyphrases
- texture classification
- texture analysis
- markov random field
- co occurrence
- image analysis
- textured images
- image segmentation
- random fields
- low level vision
- texture images
- energy function
- mrf model
- gray level
- texture features
- natural textures
- highly discriminative
- image features
- input image
- graph cuts
- image content
- multiscale
- rotation invariant
- local binary pattern
- parameter estimation
- piecewise constant functions
- texture segmentation
- image descriptors
- texture model
- maximum a posteriori
- feature selection
- pairwise
- image classification
- higher order
- image representation
- multiresolution
- texture synthesis
- computer vision
- feature extraction
- high resolution
- texture descriptors
- image retrieval
- image restoration
- feature space
- pattern recognition
- conditional random fields
- image matching
- natural images
- unsupervised segmentation
- similarity measure
- bayesian framework