Title :
Pseudo-log-polar Fourier transform for image registration
Author :
Liu, Hanzhou ; Guo, Baolong ; Feng, Zongzhe
Author_Institution :
Sch. of Electromech. Eng., Xidian Univ., Xi´´an, China
Abstract :
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.
Keywords :
approximation theory; fast Fourier transforms; image registration; image representation; PLPFT; approximation; cross-power spectrum method; fractional fast Fourier transform; image registration algorithm; image representation; nonlinear concentric square; pseudo-log-polar Fourier transform; rotation estimation; scaling estimation; Biomedical image processing; Discrete Fourier transforms; Fast Fourier transforms; Fourier transforms; Image processing; Image registration; Machine vision; Remote sensing; Robustness; Signal processing algorithms; Fractional fast Fourier transform (FFT); image registration; pseudo-log-polar;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.860549
