Translation and scale invariants of Krawtchouk moments

被引:18
|
作者
Zhi, Ruicong [1 ,2 ]
Cao, Lianyu [1 ,2 ]
Cao, Gang [3 ]
机构
[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China
[2] Beijing Key Lab Knowledge Engn Mat Sci, Beijing 100083, Peoples R China
[3] Commun Univ China, Sch Comp Sci, Beijing 100024, Peoples R China
基金
中国国家自然科学基金;
关键词
Krawtchouk moments; Translation invariants; Scale invariants; Image normalization; Algorithms; IMAGE-ANALYSIS; TCHEBICHEF MOMENTS; ZERNIKE MOMENTS; RECOGNITION;
D O I
10.1016/j.ipl.2017.09.010
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Krawtchouk moments are discrete orthogonal moments which are effective for image representation. The translation and scale invariants of Krawtchouk moments are achieved either by normalizing the image or by using a combination of the corresponding invariants of geometric moments. However, the derivation of these functions is not based on Krawtchouk polynomials. In this paper, we propose a new method to derive the translation and scale invariants of Krawtchouk moments directly from the Krawtchouk polynomials. The performance of the proposed method is verified using binary characters. Experimental results show that the values of the Krawtchouk moments are invariant under image translation and scale. Furthermore, the speed of the proposed method is faster than conventional methods. (C) 2017 Published by Elsevier B.V.
引用
收藏
页码:30 / 35
页数:6
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