Information-theoretic wavelet packet subband selection for texture classification

  title={Information-theoretic wavelet packet subband selection for texture classification},
  author={Ke Huang and Selin Aviyente},
  journal={Signal Processing},
Wavelet packet decomposition has been successfully applied to image analysis and classification. The most common approach for wavelet packet-based texture classification is to decompose texture images with wavelet packet transform and to extract energy values for all subbands as features for the subsequent classification. Due to the overcomplete representation provided by the wavelet packet transform, it is suitable to select a set of subbands for sparse representation of the texture for… CONTINUE READING
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