DocumentCode :
2251588
Title :
On the Feature Extraction Performances of CNN Gabor-Type Filters in Texture Recognition Applications
Author :
David, Emilian ; Ungureanu, Paul ; Goras, Liviu
Author_Institution :
Fac. of Electron. & Telecommun.,, Gh. Asachi Tech. Univ. of Iasi
fYear :
2006
fDate :
28-30 Aug. 2006
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents several results regarding the feature extraction performances of 2D CNN Gabor type filter banks in a texture recognition application. These performances are studied for circular symmetric or separable frequency response filters with several filter neighborhood radii and parameters. The results are compared with similar approaches from literature
Keywords :
Gabor filters; cellular neural nets; feature extraction; image recognition; image texture; 2D CNN Gabor type filter banks; CNN Gabor-type filters; circular symmetric filters; feature extraction; filter neighborhood parameters; filter neighborhood radii; frequency response filters; pattern recognition; texture recognition applications; Cellular neural networks; Feature extraction; Filter bank; Frequency; Gabor filters; Image analysis; Image processing; Information analysis; Performance analysis; Transfer functions; CNN Gabor type filters; Gabor filters; feature extraction; pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0639-0
Electronic_ISBN :
1-4244-0640-4
Type :
conf
DOI :
10.1109/CNNA.2006.341621
Filename :
4145861
Link To Document :
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