Texture analysis using level-crossing statistics

@article{Santamaria2004TextureAU,
  title={Texture analysis using level-crossing statistics},
  author={Carlos Santamaria and Miroslaw Bober and Wieslaw Szajnowski},
  journal={Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.},
  year={2004},
  volume={2},
  pages={712-715 Vol.2}
}
We present a novel statistical texture descriptor employing level-crossing statistics. Images are first mapped into 1D signals using space-filling curves, such as Peano or Hilbert curves, and texture features are extracted via signal-dependent sampling. Texture parameters are based on the level-crossing statistics of the 1D signal, i.e. crossing rate, crossing slope and sojourn time. Despite the simplicity of texture features used, our approach offers state-of-the art performance in the texture… 

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