DocumentCode :
3223074
Title :
Comparison of texture features based on Gabor filters
Author :
Kruizinga, P. ; Petkov, N. ; Grigorescu, S.E.
Author_Institution :
Inst. of Math. & Comput. Sci., Groningen Univ., Netherlands
fYear :
1999
fDate :
1999
Firstpage :
142
Lastpage :
147
Abstract :
The performance of a number of texture feature operators is evaluated. The features are all based on the local spectrum which is obtained by a bank of Gabor filters. The comparison is made using a quantitative method which is based on Fisher´s criterion. It is shown that, in general, the discrimination effectiveness of the features increases with the amount of post-Gabor processing
Keywords :
feature extraction; filtering theory; image texture; mathematical operators; spectral analysis; Fisher´s criterion; Gabor filters; discrimination effectiveness; filter bank; local spectrum; operators; performance; post-Gabor processing; quantitative method; texture features; Band pass filters; Cyclic redundancy check; Filtering; Frequency domain analysis; Gabor filters; Gratings; Mathematics; Nonlinear filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location :
Venice
Print_ISBN :
0-7695-0040-4
Type :
conf
DOI :
10.1109/ICIAP.1999.797585
Filename :
797585
Link To Document :
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