Robust image registration using subspace method in Radon transform domain
ISSN: 0260-2288
Article publication date: 19 July 2019
Issue publication date: 23 August 2019
Abstract
Purpose
The purpose of this paper is to represent a robust image registration method to align noisy and deformed images in their Radon transform domain. Due to the limitation of imaging mechanism, the images are often highly noisy. Even worse, the objects in images have structural differences from time to time.
Design/methodology/approach
To eliminate these degressions, the proposed method is equipped with subspace-based power spectrum analysis algorithm for rotation estimation and a new global median filter least square algorithm for displacement computation.
Findings
Experiments on strongly noisy and degenerated images show that the proposed method exhibits better accuracy and robustness than phase correlation-based method. In addition, the method can also be applied to multi-modal registration, where the results are comparable to mutual information method but spending much less time.
Originality/value
A robust image registration method is proposed, which has better performance than traditional methods.
Keywords
Acknowledgements
This work was supported in part by the National Key Research and Development Program of China through the Ministry of Science and Technology of China under Grant 2016YFC0802500, in part by the Hubei Provincial Natural Science Foundation of China under Grant 2017CFB595, in part by the National Natural Science Foundation of China under Grant 61871258 and Grant 61272236 and in part by the China Scholarship Council under Grant 201808420190.
Citation
Wei, N., He, Y., Liu, J. and Chen, P. (2019), "Robust image registration using subspace method in Radon transform domain", Sensor Review, Vol. 39 No. 5, pp. 645-651. https://doi.org/10.1108/SR-10-2018-0277
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited