Using Filter Banks in Convolutional Neural Networks for Texture Classification.
Vincent AndrearczykPaul F. WhelanPublished in: CoRR (2016)
Keyphrases
- texture classification
- convolutional neural networks
- filter bank
- texture analysis
- image coding
- multiresolution
- multiscale
- local binary pattern
- subband
- filter responses
- texture features
- texture images
- signal processing
- rotation invariant
- perfect reconstruction
- image analysis
- frequency domain
- wavelet packet
- feature extraction
- computationally efficient
- low pass
- wavelet decomposition
- lifting scheme
- wavelet transform
- feature selection
- high frequency
- gabor filters
- natural images
- image compression