Compact rotation-invariant texture classification

This paper constructs a texture feature extractor based on a morphological scale-space. It produces features that are invariant to rotation of the texture. The features are used with a very simple k-nearest neighbour classifier and tested using the Outex methodology. The classifier has comparable performance to a number of benchmark classifiers but uses fewer features. The algorithm is quick to compute and provides insight into the underlying structure of texture.