Image texture classification with digital filter banks and transforms
John Håkon Husøy,
Trygve Randen
and Thor O. Gulsrud
Rogaland University Center
Department of Electrical and Computer Engineering
Box 2557 Ullandhaug
N-4004 Stavanger
NORWAY
In Proc. SPIE International symposium on optical
instrumentation and applied science: Applications of
Digital Image Processing XVI, San Diego, July 1993, pp. 260-271
Full paper
Abstract
Several frequency domain or joint spatial/frequency domain techniques for
image texture classification have been published. We formulate
these techniques within a common signal processing framework based on
digital filter banks. The usefulness of computationally
efficient IIR filter banks as channel filters in texture classifiers is
demonstrated.
Using estimates of local energy in the frequency channels we also
propose at technique
for selecting optimum filter banks by maximizing a between class distance measure.
This optimization is particularly simple when using
the IIR based filter banks.