Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification.
Yasseen AlmakadySasan MahmoodiJoy ConwayMichael J. BennettPublished in: Comput. Vis. Image Underst. (2020)
Keyphrases
- texture classification
- three dimensional
- gaussian markov random fields
- texture analysis
- correct classification rate
- local binary pattern
- texture images
- texture features
- computationally efficient
- non stationary
- image analysis
- maximum likelihood
- feature extraction
- rotation invariant
- texture description
- natural textures
- image texture
- image textures
- pattern spectra
- image sequences
- multiresolution
- face recognition
- d objects
- state space