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