Measuring texture classification algorithms

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.