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