Radial Tchebichef Invariants for Pattern Recognition

Author

Mukundan, Ramakrishnan

Author_Institution

Dept. of Comput. Sci., Canterbury Univ., Canterbury

fYear

2005

fDate

21-24 Nov. 2005

Firstpage

1

Lastpage

6

Abstract

This paper presents the mathematical framework of radial Tchebichef moment invariants, and investigates their feature representation capabilities for pattern recognition applications. The radial Tchebichef moments are constructed using the discrete orthogonal Tchebichef polynomials as the kernel, and they have a radial-polar form similar to that of Zernike moments. The discrete form of the moment transforms make them particularly suitable for image processing tasks. Experimental results showing the primary attributes such as invariance and orthogonality of the proposed moment functions are also given.

Keywords

Chebyshev approximation; feature extraction; image recognition; polynomial approximation; transforms; Zernike moments; discrete orthogonal Tchebichef polynomials; feature representation capabilities; image processing tasks; moment transforms; pattern recognition; radial Tchebichef invariants; Discrete transforms; Equations; Feature extraction; Image processing; Image reconstruction; Kernel; Noise robustness; Numerical stability; Pattern recognition; Polynomials; Discrete transforms; feature extraction; image reconstruction; orthogonal functions; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2005 2005 IEEE Region 10

Conference_Location

Melbourne, Qld.

Print_ISBN

0-7803-9311-2

Electronic_ISBN

0-7803-9312-0

Type

conf

DOI

10.1109/TENCON.2005.301111

Filename

4084999