New S’ubband Geometries for Image Texturie Segmentation

The usefulness of multichannel filtering for image texture segmentation has been demonstrated in the literature [l, 2, 3 , 4, 5, 61. Based on psychophysical studies, it has been largely believed that Gabor filters are optimal for segmentation [7, 81. 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.