Image Classification Using Separable Invariant Moments of Krawtchouk-Tchebichef

被引：0
|
作者：
Sayyouri, M. [1 ]
Hmimid, A. [1 ]
Karmouni, H. [1 ]
Qjidaa, H. [1 ]
Rezzouk, A. [2 ]
机构：
[1] Sidi Mohamed Ben Abdellah Univ, Fac Sci Dhar El Mehraz, LESSI, CED ST, Fes, Morocco
[2] Sidi Mohamed Ben Abdellah Univ, Fac Sci Dhar El Mehraz, LPS, CED ST, Fes, Morocco
来源：
2015 IEEE/ACS 12TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA) | 2015年
关键词：
Krawtchouk-Tchebichef's invariant moments; Pattern recognition; Classification; COMPUTATION;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, we propose a new set of separable two-dimensional discrete orthogonal moments called KrawtcoukTchebichef's moments. This set of moments is based on the bivariate discrete orthogonal polynomials defined from the product of Krawtchouk and Tchebichef discrete orthogonal polynomials with one variable. We also present a novel set of Krawtchouk-Tchebichef invariant moments. These invariant moments are derived algebraically from the geometric invariant moments and their computation is accelerated using an image representation scheme. The performance of these invariant moments used as pattern features for a pattern classification is compared with Tchebichef and Krawtchouk invariant moments.
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页数：6
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