Image analysis using Hahn moments

被引：151
|
作者：
Yap, Pew-Thian [1 ]
Paramesran, Raveendran, Sr.
Ong, Seng-Huat
机构：
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[2] Univ Malaya, Fac Engn, Dept Elect Engn, Kuala Lumpur 50603, Malaysia
[3] Univ Malaya, Fac Sci, Inst Math Sci, Kuala Lumpur 50603, Malaysia
来源：
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2007年 / 29卷 / 11期
关键词：
Hahn polynomials; Hahn moments; discrete orthogonal polynomials; normalized convolution;
D O I：
10.1109/TPAMI.2007.70709
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 shows how Hahn moments provide a unified understanding of the recently introduced Chebyshev and Krawtchouk moments. The two latter moments can be obtained as particular cases of Hahn moments with the appropriate parameter settings and this fact implies that Hahn moments encompass all their properties. The aim of this paper is twofold: 1) To show how Hahn moments, as a generalization of Chebyshev and Krawtchouk moments, can be used for global and local feature extraction and 2) to show how Hahn moments can be incorporated into the framework of normalized convolution to analyze local structures of irregularly sampled signals.
引用
收藏
页码：2057 / 2062
页数：6
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