Optimal filter-bank design for multiple texture discrimination

Abstract

An important category of texture features are features extracted by filters together with a filter response energy measure. Most approaches to texture filtering use filter banks which are selected by some heuristic criteria and which are not optimal with respect to the given data. Some approaches to optimal filter design have been presented. A few approaches to multi-texture optimal filter bank design have also been presented, but they are all restricted to very small sets of free parameters. In this paper a new technique for multiple texture optimal design of a bank of general finite impulse response (FIR) filters is presented. A closed form optimal solution is obtained by modeling the feature extraction for the textures.