DocumentCode :
3502040
Title :
Texture segmentation algorithm based on Gabor filter
Author :
Liu, Hongying ; Zhou, J. ; Tan, Zhenyu
Author_Institution :
Electron. & Inf. Eng. Coll., Xi´an Jiaotong Univ.
Volume :
2
fYear :
1996
fDate :
14-18 Oct 1996
Firstpage :
938
Abstract :
Texture is modeled as narrow-band patterns, which are distinguished by a high concentration of localized spatial frequencies. We discuss the spatial-frequency local features. By the choice of parameters we attain a set of Gabor (1946) filters, the center frequencies, bandwidths and orientations of which can be controlled, and used for texture segmentation. The experimental results show that this method is effective
Keywords :
filtering theory; image representation; image resolution; image segmentation; image texture; Gabor filter; bandwidths; center frequencies; experimental results; image representation; image resolution; local features; localized spatial frequencies; narrowband patterns; orientations; texture segmentation algorithm; Band pass filters; Bandwidth; Demodulation; Filtering; Frequency; Gabor filters; Gaussian processes; Image analysis; Image segmentation; Narrowband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
Type :
conf
DOI :
10.1109/ICSIGP.1996.566244
Filename :
566244
Link To Document :
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