Pseudo-log-polar Fourier transform for image registration

被引：39

作者：

Liu, HZ ^{[1
]}

Guo, BL ^{[1
]}

Feng, ZZ ^{[1
]}

机构：

[1] Xidian Univ, Sch Electromech Engn, Xian 710071, Peoples R China

来源：

IEEE SIGNAL PROCESSING LETTERS | 2006年 / 13卷 / 01期

基金：

中国国家自然科学基金;

关键词：

fractional fast Fourier transform (FFT); image registration; pseudo-log-polar;

D O I：

10.1109/LSP.2005.860549

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new registration algorithm based on pseudo-log-polar Fourier transform (PLPFT) for estimating large translations, rotations, and scalings in images is developed. The PLPFT, which is calculated at points distributed at nonlinear increased concentric squares, approximates log-polar Fourier representations of images accurately. In addition, it can be calculated quickly by utilizing the Fourier separability property and the fractional fast Fourier transform. Using the log-polar Fourier representations and cross-power spectrum method, we can estimate the rotations and scalings in images and obtain translations later. Experimental results have verified the robustness and high accuracy of this algorithm.

引用

页码：17 / 20

页数：4

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