On the feature extraction performances of CNN Gabor-type filters in texture recognition applications

被引：0

作者：

David, Emilian ^{[1
]}

Ungureanu, Paul ^{[1
]}

Goras, Liviu ^{[1
]}

机构：

[1] Gh Asachi Tech Univ Iasi, Fac Elect & Telecommun, Bd Carol 11, Iasi 700506, Romania

来源：

PROCEEDINGS OF THE 2006 10TH IEEE INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS | 2006年

关键词：

Gabor filters; CNN Gabor type filters; feature extraction; pattern recognition;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：153 / +

页数：3

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