New subband geometries for image texture segmentation

The usefulness of multichannel filtering for image texture segmentation has been demonstrated in the literature. Based on psychophysical studies, it has been largely believed that Gabor filters are optimal for segmentation. In this paper, the application of maximally decimated, non-separable, perfect reconstruction filter banks (subband systems) are investigated for texture segmentation. The subband decomposition used in this paper forms a maximally decimated filter bank and therefore computation time and complexity is much less than the full rate case of the Gabor filters. The directional selectivity achieved by the non-separable, multirate filter bank results in performance similar to that achievable with the Gabor filters, but with a drastically reduced computational load.