Cylindrical phase correlation method

Authors:
Jakub Bican;Jan Flusser
Affiliations:
Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Prague 8, Czech Republic;Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Prague 8, Czech Republic
Venue:
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Year:
2007

Citing 7
Cited 0

Registration of Translated and Rotated Images Using Finite Fourier Transforms

IEEE Transactions on Pattern Analysis and Machine Intelligence
Numerical recipes in C (2nd ed.): the art of scientific computing

Numerical recipes in C (2nd ed.): the art of scientific computing
Robust Phase Correlation

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Volume Registration Using the 3-D Pseudopolar Fourier Transform

IEEE Transactions on Signal Processing
An FFT-based technique for translation, rotation, and scale-invariant image registration

IEEE Transactions on Image Processing
Extension of phase correlation to subpixel registration

IEEE Transactions on Image Processing
Identification of translational displacements between N-dimensional data sets using the high-order SVD and phase correlation

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a new image registration algorithm that employs Phase Correlation Method (PCM) to align rotated and translated 3D images. First, we use PCM and cylindrical coordinate transform to estimate rotation angle that aligns two images that are mutually rotated around known axis. An improvement of this technique is given to eliminate influence of noise and image differences in non-ideal conditions. Finally, an iterative optimization procedure is proposed which uses these techniques in rigid body registration tasks. We study the performance of the algorithm in simulated experiment on MRI brain image.