Texture classification performances of fixed point implementation of Gabor filters recursive approximations

Abstract

We investigate the performances of fixed point implementation recursive approximations of Gabor filters in a texture classification framework based on a bag of words approach. The obtained results indicate that it is possible to obtain similar performances as in the case of using “premium” but very costly feature extractors.