Filter banks for texture segmentation

Trygve Randen and John Håkon Husøy
Høgskolesenteret i Rogaland
Institutt for elektroteknikk og databehandling
P.O. Box 2557 Ullandhaug, N-4004 Stavanger, Norway

Piksel'n, no. 3, September 1993, pp. 22-29

Full paper


Several approaches to multichannel filtering for texture classification and segmentation with Gabor filters have been proposed. The rationale presented for the use of the Gabor filters is their relation to models for the early vision of mammals as well as their joint optimum resolution in time and frequency. In this work we present a critical evaluation of the Gabor filters as opposed to filter banks used in image coding -- in both full rate and critically sampled realizations. In the critically sampled case, tremendous computational savings can be realized. We further evaluate the commonly used octave band decomposition versus alternative decompositions. We conclude that for a texture segmentation task it is possible to use a wider range of filters than just the Gabor class of filters, it is possible to use alternative decompositions and, most important, it is possible to use sub-sampled filters.