On steerability of Gabor-type filters for feature detection

Authors:
Ilkka Kalliomäki;Jouko Lampinen
Affiliations:
Helsinki University of Technology, Laboratory of Computational Engineering, P.O. Box 9203, FIN-02015 TKK, Finland;Helsinki University of Technology, Laboratory of Computational Engineering, P.O. Box 9203, FIN-02015 TKK, Finland
Venue:
Pattern Recognition Letters
Year:
2007

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Abstract

We discuss the use of Gabor filters in pattern recognition. We derive optimal steering functions for non-spherical Gabor, DC-free Gabor and angular Gaussian filters and evaluate the accuracy of the approximative orientation steering numerically. Gabor-type filters can be steerable, but the error performance depends heavily on the parameters.