NDLI: A new image registration method robust to noise

Content Provider	Springer Nature Link
Author	Chen, Guangyi Coulombe, Stéphane
Copyright Year	2012
Abstract	Image registration is a fundamental task in many image processing applications. In this paper, we estimate the translation, rotation, and scaling parameters between a reference image and a distorted image in order to register them. We use the ratio of means to estimate the scaling factor, the Radon transform to estimate the rotation angle, and the fast Fourier transform to estimate global spatial shifts. Experimental results show that our proposed method can estimate the transformation parameters very accurately. Furthermore, our method performs very well in noisy environments.
Starting Page	601
Ending Page	609
Page Count	9
File Format	PDF
ISSN	09236082
Journal	Multidimensional Systems and Signal Processing
Volume Number	25
Issue Number	3
e-ISSN	15730824
Language	English
Publisher	Springer US
Publisher Date	2012-09-19
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Translation-invariant Rotation-invariant Scale-invariant Image registration Radon transform FFT Circuits and Systems Electrical Engineering Signal, Image and Speech Processing Artificial Intelligence (incl. Robotics)
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Signal Processing Information Systems Computer Science Applications Software Hardware and Architecture

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A new image registration method robust to noise