DocumentCode :
1732635
Title :
Octa-Log-Polar Fourier Transform for Image Registration
Author :
Wu, Xian-Xiang ; Guo, Bao-Long ; Wang, Juan
Author_Institution :
Inst. of Intell. Control & Image Eng., Xidian Univ., Xi´´an, China
Volume :
1
fYear :
2009
Firstpage :
601
Lastpage :
604
Abstract :
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.
Keywords :
Fourier transforms; approximation theory; image registration; image representation; OLPFT; approximation theory; cross-power spectrum method; image registration algorithm; image representation; octa-log-polar Fourier transform; Discrete Fourier transforms; Estimation theory; Fourier transforms; Image processing; Image registration; Information security; Intelligent control; Interpolation; Machine vision; Phase detection; image registration; octa-log-polar Fourier transform; phase correlation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location :
Xian
Print_ISBN :
978-0-7695-3744-3
Type :
conf
DOI :
10.1109/IAS.2009.285
Filename :
5282970
Link To Document :
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