Octa-Log-Polar Fourier Transform for Image Registration

A novel image registration algorithm based on octa-log-polar Fourier transform (OLPFT) for estimating large translations, rotations, and scalings in images is presented. The OLPFT, which is calculated at points distributed at non-linear increased concentric octagons, approximated log-polar Fourier r...

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Bibliographic Details
Published in2009 Fifth International Conference on Information Assurance and Security Vol. 1; pp. 601 - 604
Main Authors Xian-xiang Wu, Bao-long Guo, Juan Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Discrete Fourier transforms
Estimation theory
Fourier transforms
Image processing
Image registration
Information security
Intelligent control
Interpolation
Machine vision
octa-log-polar Fourier transform
phase correlation
Phase detection
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Summary:A novel image registration algorithm based on octa-log-polar Fourier transform (OLPFT) for estimating large translations, rotations, and scalings in images is presented. The OLPFT, which is calculated at points distributed at non-linear increased concentric octagons, approximated log-polar Fourier representations of images accurately. And it can be calculated fast by utilizing the Fourier separability property and fractional FFT. Using the log-polar Fourier representations and cross-power spectrum method, we can estimate the rotations and scalings in images, and obtain translations later.
ISBN:0769537448
9780769537443
DOI:10.1109/IAS.2009.285