Analysis of irregularly shaped texture regions: a comparative study

Most of texture classification techniques are evaluated using large rectangular samples of each texture. This, however, is unrealistic, especially as samples of a certain texture may be used as cues in searching image databases or identifying objects in a scene. In this paper, four different texture classification methods (wavelets, co-occurrence matrices, sum and difference histograms, and 1D Boolean models) are systematically compared and evaluated with respect to their performance in identifying textures from small and irregular samples