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Authors: Jelina Unger and Klaus Brinker

Affiliation: Hamm-Lippstadt University of Applied Sciences, Marker Allee 76-78, 59063 Hamm, Germany

Keyword(s): Image Registration, Fourier-based Cross Correlation, Image Projections, Subpixel Accuracy.

Abstract: In many fields like medical imaging and remote sensing, it is necessary to register images with subpixel accuracy. A general problem is the tradeoff between accuracy and efficiency. This paper presents a highly accurate and efficient algorithm for subpixel image registration using Fourier-based cross correlation to determine the translation between two images. Therefore a coarse to fine strategy is used. It combines a fast method using image projections with an accurate approach using matrix multiplication for refined computation. The results show that the new approach has almost the same level of accuracy as the accurate method, but with reduced computational complexity. Compared to the fast method, the computational complexity of the new approach is slightly higher, but achievs a higher level of accuracy. Overall the hybrid approach achieves an efficient registration with a relatively short runtime.

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Paper citation in several formats:
Unger, J. and Brinker, K. (2021). Efficient Image Registration with Subpixel Accuracy using a Hybrid Fourier-based Approach. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOIMAGING; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 136-143. DOI: 10.5220/0010242900002865

@conference{bioimaging21,
author={Jelina Unger and Klaus Brinker},
title={Efficient Image Registration with Subpixel Accuracy using a Hybrid Fourier-based Approach},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOIMAGING},
year={2021},
pages={136-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010242900002865},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - BIOIMAGING
TI - Efficient Image Registration with Subpixel Accuracy using a Hybrid Fourier-based Approach
SN - 978-989-758-490-9
IS - 2184-4305
AU - Unger, J.
AU - Brinker, K.
PY - 2021
SP - 136
EP - 143
DO - 10.5220/0010242900002865
PB - SciTePress

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