Textures discrimination enhancement by fusion with second and fourth order statistics

In this paper, second and fourth order statistical moments are used to segment fine grain textures. The fusion of the moments is made through different implementations (serial or parallel strategies) and different formalism (Bayes and Evidence theory). A comparative study of the classification performance is presented and interpreted.