Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

@article{Ojala2002MultiresolutionGA,
  title={Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns},
  author={T. Ojala and M. Pietik{\"a}inen and Topi M{\"a}enp{\"a}{\"a}},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={2002},
  volume={24},
  pages={971-987}
}
Presents a theoretically very simple, yet efficient, multiresolution approach to gray-scale and rotation invariant texture classification based on local binary patterns and nonparametric discrimination of sample and prototype distributions. [...] Key Method We derive a generalized gray-scale and rotation invariant operator presentation that allows for detecting the "uniform" patterns for any quantization of the angular space and for any spatial resolution and presents a method for combining multiple operators…Expand
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