2 September 2022 Hybrid double branch image registration algorithm
Qingchun Zheng, Yangyang Zhao, Xu Zhang, Peihao Zhu, Wenpeng Ma
Author Affiliations +
Abstract

High-quality image registration is the basis of multimodal fusion in the field of industrial welds. Due to the influence of contrast, scale, and illumination, the registration accuracy and robustness of existing algorithms are not high enough for the industrial weld field, and registration performance still needs further improvement. In this case, we propose a hybrid double branch image registration (HDBR) algorithm for multisource images, which has a parallel composite structure. The experimental result demonstrates that compared with the radiation invariant feature transformation and histogram of absolute phase consistency gradients algorithms, HDBR algorithm has higher matching accuracy and lower registration loss, and the registration performance is improved by 1.12% and 15.55%. The composite structure registration algorithm we proposed is mainly applied to the multiview weld image field, and finally high-quality multiview weld data set is obtained.

© 2022 SPIE and IS&T
Qingchun Zheng, Yangyang Zhao, Xu Zhang, Peihao Zhu, and Wenpeng Ma "Hybrid double branch image registration algorithm," Journal of Electronic Imaging 31(5), 053003 (2 September 2022). https://doi.org/10.1117/1.JEI.31.5.053003
Received: 25 February 2022; Accepted: 10 August 2022; Published: 2 September 2022
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image registration

Image fusion

Image processing

Composites

Detection and tracking algorithms

Medical imaging

Magnetic resonance imaging

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