Automatic generation of oriented filters for texture segmentation

This paper describes a new texture segmentation architecture based on the joint spatial/spatial-frequency paradigm, whose oriented filters are automatically generated using the adaptive-subspace self-organizing map (ASSOM) or the supervised ASSOM (SASSOM) neural models. The automatic filter generation overcomes some drawbacks of similar architectures, such as the large size of the filter bank and the necessity of a priori knowledge to determine the filters´ parameters