Texture classification using non-uniform directional filter bank

  title={Texture classification using non-uniform directional filter bank},
  author={T. T. Nguyen and Soontorn Oraintara},
  journal={3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th Digital Signal Processing Workshop, 2004.},
A newly proposed multiresolution non-uniform directional filter bank (nuDFB) is applied to the problem of texture classification. The classification performance is compared with other critically sampled filter banks, including the conventional directional filter bank and the discrete wavelet transform, and shows that the nuDFB offers a better representation of texture with directional edges.