Design of Optimal Filters for Image Texture Feature Separation
Trygve Randen
and John Håkon Husøy
Høgskolen i Stavanger
P.O. Box 2557 Ullandhaug, N-4004 Stavanger, Norway
In Proc. NORSIG-95, Stavanger, Norway, Sep. 1995,
Full paper
Abstract
The use of filters is one of the major techniques for texture feature
extraction.
In this paper, we present approaches to filter design for optimal texture
feature extraction.
A generic feature extraction scheme of a finite
impulse response filter and a local energy function is modelled, and the
filter is optimized with respect to the Fisher criterion.
We develop the necessary expressions for a gradient search optimization.
Based on some assumptions, we also find a closed form solution to the
problem.
Then we extend the closed form solution to a more generalized unifying
framework.
Finally, the practical utilities of the filter design techniques are shown
through experiments.