DocumentCode :
2466160
Title :
Invariant texture segmentation via circular Gabor filters
Author :
Jainguo Zhang ; Tieniu Tan ; Li Ma
Author_Institution :
Inst. of Autom., Acad. Sinica, Beijing, China
Volume :
2
fYear :
2002
fDate :
11-15 Aug. 2002
Firstpage :
901
Abstract :
In this paper, we focus on invariant texture segmentation, and propose a new method using circular Gabor filters (CGF) for rotation invariant texture segmentation. The traditional Gabor function is modified into a circular symmetric version. The rotation invariant texture features are achieved via the channel output of the CGF. A new scheme of the selection of Gabor parameters is also proposed for texture segmentation. Experiments show the efficacy of this method.
Keywords :
filtering theory; image segmentation; image texture; Gabor parameter selection; channel output; circular Gabor filters; circular symmetric Gabor function; rotation invariant texture segmentation; Application software; Automation; Computer vision; Focusing; Frequency domain analysis; Gabor filters; Humans; Image segmentation; Image texture analysis; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Conference_Location :
Quebec City, Quebec, Canada
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048450
Filename :
1048450
Link To Document :
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