Noise robust and rotation invariant entropy features for texture classification.
Mohammad Hossein ShakoorFarshad TajeripourPublished in: Multim. Tools Appl. (2017)
Keyphrases
- texture classification
- rotation invariant
- highly discriminative
- feature extraction
- texture analysis
- feature descriptors
- local binary pattern
- texture features
- feature vectors
- rotation invariance
- scale and rotation invariant
- texture images
- gabor filters
- brodatz textures
- image texture
- image analysis
- texture descriptors
- gabor wavelets
- shape context
- dominant orientation
- feature set
- image features
- zernike moments
- filter responses
- scale invariance
- wavelet transform
- image processing
- feature space
- neural network
- face recognition
- object recognition
- image descriptors
- classification accuracy
- multiresolution
- natural images