Multi-scale Binary Patterns for Texture Analysis

@inproceedings{Menp2003MultiscaleBP,
  title={Multi-scale Binary Patterns for Texture Analysis},
  author={Topi M{\"a}enp{\"a}{\"a} and Matti Pietik{\"a}inen},
  booktitle={SCIA},
  year={2003}
}
This paper presents two novel ways of extending the local binary pattern (LBP) texture analysis operator to multiple scales. First, large-scale texture patterns are detected by combining exponentially growing circular neighborhoods with Gaussian low-pass filtering. Second, cellular automata are proposed as a way of compactly encoding arbitrarily large circular neighborhoods. The performance of the extensions is evaluated in classifying natural textures from the Outex database. 
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