DocumentCode :
1855778
Title :
An invariant similarity registration algorithm based on the Analytical Fourier-Mellin Transform
Author :
Sellami, Malek ; Ghorbel, Faouzi
Author_Institution :
Cristal Lab., Univ. of Manouba, La Manouba, Tunisia
fYear :
2012
fDate :
27-31 Aug. 2012
Firstpage :
390
Lastpage :
394
Abstract :
Here, we intend to introduce an invariant similarity registration method based on Analytical Fourier-Mellin Transform (AFMT) computed on the image functions. The well-known phase correlation method which estimates the geometrical transformation parameters between tow images from the corresponding Fourier-Mellin spectrums is compared to the proposed one. In order to illustrate the best performance of the geometric parameters estimation, we apply our method to the construction of Punic Panorama.
Keywords :
Fourier transforms; correlation methods; image registration; parameter estimation; AFMT; Fourier-Mellin spectrums; analytical Fourier-Mellin transform; geometric parameters estimation; geometrical transformation parameter estimation; image functions; invariant similarity registration algorithm; phase correlation method; punic panorama; tow images; Algorithm design and analysis; Correlation; Equations; Estimation; Fourier transforms; Image registration; Analytical Fourier-Mellin Transform (AFMT); Mosaicing; Phase correlation; Registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location :
Bucharest
ISSN :
2219-5491
Print_ISBN :
978-1-4673-1068-0
Type :
conf
Filename :
6334225
Link To Document :
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