Novel approaches to multichannel filtering
for image texture segmentation
and John Håkon Husøy
Rogaland University Center
Department of Electrical and Computer Engineering
P.O. Box 2557 Ullandhaug, N-4004 Stavanger, Norway
In Proc. Visual Communication and Signal Processing, Boston, November 1993,
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
We further evaluate the commonly used octave band decomposition versus
We conclude that for a texture segmentation task is it 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 subsampled filters.