Title :
Multilayer-Pseudopolar Fractional Fourier Transform Approach for Image Registration
Author :
Zhenhong Li ; Jianwei Yang ; Rushi Lan ; Xiaoxia Feng
Author_Institution :
Coll. of Math & Stat., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
In this paper, a method is proposed to estimate the log-polar coordinates coefficients using Multilayer-peudopolar Fractional Fourier transform (MPFFT). The MPFFT grid is dense at low coefficients and sparse at high coefficients. This character is geometrically similar to the log-polar grid. Large translations, rotations and scaling in images can be estimated. Experimental results show that the proposed method is more efficient for image registration.
Keywords :
Fourier transforms; image registration; multilayer perceptrons; MPFFT; image registration; image rotation estimation; image translation estimation; log polar coordinate coefficient estimation; log polar grid; multilayer peudopolar fractional Fourier transform; scaling estimation; Approximation algorithms; Correlation; Fourier transforms; Image registration; Noise measurement; Robustness; Signal processing algorithms; Fractional Fourier Transform; Image registration; Multilayer-Pseudopolar grid;
Conference_Titel :
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-4725-9
DOI :
10.1109/CIS.2012.79
