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

fYear

2012

fDate

17-18 Nov. 2012

Firstpage

323

Lastpage

327

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security (CIS), 2012 Eighth International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4673-4725-9

Type

conf

DOI

10.1109/CIS.2012.79

Filename

6405854