A new approach for rotation-invariant and noise-resistant texture analysis and classification.
Mohammad Mahdi FeraidooniDavood GharavianPublished in: Mach. Vis. Appl. (2018)
Keyphrases
- rotation invariant
- texture analysis
- texture discrimination
- gabor filtering
- noise resistant
- texture classification
- feature vectors
- feature extraction
- brodatz textures
- texture segmentation
- texture features
- textural features
- texture images
- rotation invariance
- image analysis
- multiresolution
- local binary pattern
- co occurrence
- gabor filters
- fractal dimension
- scale invariance
- gray level
- pattern recognition
- gabor wavelets
- texture image retrieval
- classification accuracy
- machine learning
- image texture
- zernike moments
- texture descriptors
- decision trees
- feature space
- feature set
- neural network
- wavelet transform
- support vector
- training data