Translation invariants of modified Chebyshev moments

Author

Fu, Bo ; Zhou, Jian-zhong ; Chen, Wen-Qing ; Zhang, Guo-Jun

Author_Institution

Coll. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China

Volume

7

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

4499

Abstract

The translation invariants of moments based on polynomials can be achieved by many methods, such as geometric moments, Legendre moments, and so on. In this paper, based on the modified discrete Chebyshev polynomials, the modified discrete Chebyshev moments, which can remain invariant for translated images and are superior to classical Chebyshev moments in the aspect of representation capability, is proposed. And the performance of the proposed descriptors is experimentally verified by using a set of binary English, Chinese characters as well.

Keywords

Chebyshev approximation; character recognition; image representation; polynomials; Chebyshev moments; binary Chinese characters; binary English characters; discrete orthogonal systems; image feature representation; image representation; image translation; modified discrete Chebyshev polynomials; polynomial moments; translation invariants; Chebyshev approximation; Computational complexity; Educational institutions; Equations; Hydroelectric power generation; Image analysis; Image reconstruction; Kernel; Pattern recognition; Polynomials; Discrete orthogonal systems; image feature representation; modified Chebyshev polynomials; translation invariants;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527731

Filename

1527731