Object recognition by combined invariants of orthogonal Fourier-Mellin moments

Author

Liu, Qian ; Zhu, Hongqing ; Li, Qian

Author_Institution

Dept. of Electron. & Commun. Eng., East China Univ. of Sci. & Technol., Shanghai, China

fYear

2011

Firstpage

1

Lastpage

5

Abstract

Orthogonal moments are successfully used in the field of image analysis in the past decades. In this paper, two sets of invariants which are invariant to convolution with circularly symmetric point spread function (PSF) are introduced for object recognition and image classification using orthogonal Fourier-Mellin moments and quaternion Fourier-Mellin moments, respectively. The theoretic frameworks for deriving the orthogonal Fourier-Mellin moments of a blurred gray image are provided. Similarly, this study presents a method to construct quaternion Fourier-Mellin moments of a blurred color image. The experimental results are presented to illustrate the performance of the invariants for deformed gray or color images.

Keywords

convolution; image classification; image colour analysis; object recognition; blurred color image; blurred gray image; circularly-symmetric PSF; circularly-symmetric point spread function; combined invariants; convolution; image analysis; image classification; object recognition; orthogonal Fourier-Mellin moments; quaternion Fourier-Mellin moments; Color; Convolution; Image recognition; Imaging; Object recognition; Pattern recognition; Quaternions;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4577-0029-3

Type

conf

DOI

10.1109/ICICS.2011.6174265

Filename

6174265