Using filter banks in Convolutional Neural Networks for texture classification.
Vincent AndrearczykPaul F. WhelanPublished in: Pattern Recognit. Lett. (2016)
Keyphrases
- texture classification
- convolutional neural networks
- filter bank
- image coding
- texture analysis
- subband
- multiscale
- multiresolution
- local binary pattern
- texture features
- signal processing
- filter responses
- perfect reconstruction
- texture images
- image analysis
- rotation invariant
- feature extraction
- computationally efficient
- wavelet packet
- low pass
- frequency domain
- feature vectors
- lifting scheme
- image compression
- computer vision
- wavelet coefficients
- machine learning
- scale space
- wavelet transform
- support vector
- similarity measure
- face recognition