Approximate steerability of Gabor filters for feature detection

I. Kalliomäki*, J. Lampinen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

We discuss the connection between Gabor filters and steerable filters in pattern recognition. We derive optimal steering coefficients for Gabor filters and evaluate the accuracy of the approximative orientation steering numerically. Gabor filters can be well steerable, but the error of the approximation depends heavily on the parameters. We show how a rotation invariant feature similarity measure can be obtained using steerability.

Original languageEnglish
Title of host publicationIMAGE ANALYSIS
EditorsH. Kalviainen, J. Parkkinen, A. Kaarna
PublisherSpringer Berlin Heidelberg
Pages940-949
Number of pages10
ISBN (Electronic)978-3-540-31566-7
ISBN (Print)978-3-540-26320-3
DOIs
Publication statusPublished - 2005
MoE publication typeA3 Part of a book or another research book

Publication series

NameLecture Notes in Computer Science
Volume3540
ISSN (Print)0302-9743

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