Measuring texture classification algorithms

@article{Smith1997MeasuringTC,
  title={Measuring texture classification algorithms},
  author={Guy Smith and Ian Burns},
  journal={Pattern Recognition Letters},
  year={1997},
  volume={18},
  pages={1495-1501}
}
The texture analysis literature lacks a widely accepted method for comparing algorithms. This paper proposes a framework for comparing texture classification algorithms. The framework consists of several suites of texture classification problems, a standard functionality for algorithms, and a method for computing a score for each algorithm. We use the framework to demonstrate the peaking phenomenon in texture classification algorithms. The framework is publicly available on the Internet. 
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