Optimal Filter-Bank Design for Multiple Texture Discrimination
Trygve Randen
and John Håkon Husøy
Høgskolen i Stavanger
P.O. Box 2557 Ullandhaug, N-4004 Stavanger, Norway
In Proc. IEEE International Conference on Image Processing.
Santa Barbara, CA, October 1997
Full paper
Abstract
An important category of texture feature extraction approaches are
features extracted by filters together with a filter response energy
measure.
Most approaches to texture filtering use filter banks which are
selected by some heuristic criteria, and which are not optimal with
respect to the given data.
Some approaches to optimal filter design have been presented.
A few approaches to multi-texture optimal filter bank design have also
been presented, but they are all restricted to a very small set of
free parameters.
In this paper a new technique for multiple texture optimal design of a
bank of general finite impulse response (FIR) filters is presented.
A closed form optimal solution is obtained by modeling the feature
extraction for the textures.