Learning rotation invariant convolutional filters for texture classification.
Diego MarcosMichele VolpiDevis TuiaPublished in: CoRR (2016)
Keyphrases
- texture classification
- rotation invariant
- texture analysis
- local binary pattern
- steerable filters
- texture features
- texture images
- rotation invariance
- image analysis
- scale invariance
- scale and rotation invariant
- filter responses
- multiresolution
- gabor filters
- feature vectors
- image texture
- zernike moments
- gabor wavelets
- brodatz textures
- co occurrence
- multiscale
- background subtraction
- binary images
- gray level
- object detection
- image sequences