Texture classification using rotated wavelet filters

  title={Texture classification using rotated wavelet filters},
  author={Sam-Deuk Kim and Satish S. Udpa},
  journal={IEEE Trans. Systems, Man, and Cybernetics, Part A},
In this paper, we propose a novel approach to the texture classification problem using a new set of two-dimensional (2-D) wavelet filters that are nonseparable and oriented for improved characterization of diagonally oriented textures. Channel energies are estimated at the output of both the new filter bank and a standard discrete wavelet frames (DWF) filter bank. Classification results obtained using each individual method and in combination are presented. The results show that the oriented… CONTINUE READING
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