DocumentCode :
1619573
Title :
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
Link To Document :
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