Image analysis by hypergeometric function of Legendre moments

Author

Benzzoubeir, Sanae ; Qjidaa, H. ; Hmamade, A.

Author_Institution

Dept. of Phys., Univ. Sidi Mohammed

fYear

2006

fDate

16-19 May 2006

Firstpage

506

Lastpage

509

Abstract

This paper introduces a new set of orthogonal moments function hypergeometric based on the discrete Legendre polynomials. The Legendre moments can be effectively used as pattern features in the analysis of two-dimensional images. The implementation of moments proposed in this paper does not involve any numerical approximation, since the basis set is orthogonal in the discrete domain of the image coordinate space. The paper presents the experimental results of Legendre moments with hypergeometric function and demonstrates their feature representation capability using the method of image reconstruction

Keywords

Legendre polynomials; feature extraction; image reconstruction; image representation; polynomial approximation; discrete Legendre polynomials; feature representation; hypergeometric function; image analysis; image coordinate space; image reconstruction; numerical approximation; orthogonal moments function; two-dimensional images; Data processing; Image analysis; Image edge detection; Image reconstruction; Integral equations; Laboratories; Physics; Polynomials; Shape; Signal processing; Discrete orthogonal systems; Image feature representation; Orthogonal moments Legendre;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference, 2006. MELECON 2006. IEEE Mediterranean

Conference_Location

Malaga

Print_ISBN

1-4244-0087-2

Type

conf

DOI

10.1109/MELCON.2006.1653149

Filename

1653149