On steerability of Gabor-type filters for feature detection

被引:16
|
作者
Kalliomaki, Ilkka [1 ]
Lampinen, Jouko [1 ]
机构
[1] Aalto Univ, Lab Computat Engn, FIN-02015 Helsinki, Finland
关键词
feature detection; Gabor filters; steerable filters;
D O I
10.1016/j.patrec.2006.12.011
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:904 / 911
页数:8
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