Rotation and gray-scale transform-invariant texture classification using spiral resampling, subband decomposition, and hidden Markov model

@article{Wu1996RotationAG,
  title={Rotation and gray-scale transform-invariant texture classification using spiral resampling, subband decomposition, and hidden Markov model},
  author={Wen-Rong Wu and Shieh-Chung Wei},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={1996},
  volume={5 10},
  pages={1423-34}
}
This paper proposes a new texture classification algorithm that is invariant to rotation and gray-scale transformation. First, we convert two-dimensional (2-D) texture images to one-dimensional (1-D) signals by spiral resampling. Then, we use a quadrature mirror filter (QMF) bank to decompose sampled signals into subbands. In each band, we take high-order autocorrelation functions as features. Features in different bands, which form a vector sequence, are then modeled as a hidden Markov model… CONTINUE READING
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