NEW GEOMETRIC FOURIER DESCRIPTORS FOR COLOR IMAGE RECOGNITION

被引：10

作者：

Mennesson, Jose ^{[1
]}

Saint-Jean, Christophe ^{[1
]}

Mascarilla, Laurent ^{[1
]}

机构：

[1] MIA Lab Math Image & Applicat, F-17042 La Rochelle, France

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年

关键词：

Color Fourier descriptors; geometric algebra;

D O I：

10.1109/ICIP.2010.5651939

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This article relies on two recent developments of well known methods which are a color Fourier transform using geometric algebra [1] and Generalized Fourier descriptors defined from the group M-2 of the motion of the plane [2]. In this paper, new generalized color Fourier descriptors (GCFD) are proposed. They depend on the choice of a bivector B acting as an analysis plane in a colorimetric space. The relevance of proposed descriptors is discussed on several color image databases. In particular, the influence of parameter B is studied regarding the type of images. It appears that proposed descriptors are more compact with a lower complexity and better classification rate.

引用

页码：2685 / 2688

页数：4

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