Paper Info
Title
An Application of Fourier-Mellin Transform in Image Registration
Abstract
Fourier-Mellin transform (FMT) is frequently used in content-based image retrieval and digital image watermarking. This paper extends the application of FMT into image registration and proposes an improved registration algorithm based on FMT for the alignment of images differing in translation, rotation angle, and uniform scale factor. The proposed algorithm can eliminate the conversion from Cartesian to log-polar coordinates, avoid the process of interpolation required in the conversion, and obtain a more significant improvement than the conventional method using cross-correlation. Experiments show that the algorithm is accurate and robust regardless of white noise
Year
DOI
Venue
2005
10.1109/CIT.2005.62
CIT
Keywords
Field
DocType
fourier transforms,fourier-mellin transform,improved registration algorithm,log-polar coordinates,uniform scale factor,cartesian coordinates,rotation angle,digital image watermarking,content-based image retrieval,conventional method,watermarking,proposed algorithm,cant improvement,white noise,image registration,cross-correlation,log polar coordinates,polar coordinate,mellin transform,cross correlation
Top-hat transform,Computer vision,Log-polar coordinates,Computer science,Interpolation,Image retrieval,Artificial intelligence,Image restoration,Content-based image retrieval,Image registration,Phase correlation
Conference
ISBN
Citations 
PageRank 
0-7695-2432-X
3
0.40
References 
Authors
8
4
Name
Order
Citations
PageRank
Xiaoxin Guo1196.03
Zhiwen Xu2246.64
Yinan Lu3196.62
Yunjie Pang4185.61