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