Lin, Y., Wang, P., Wang, Z. et al. (2 more authors) (2025) Towards automated remote sizing and hot steel manufacturing with image registration and fusion. Journal of Intelligent Manufacturing, 36. pp. 421-438. ISSN 0956-5515
Abstract
Image registration and fusion are challenging tasks needed in manufacturing, including in high-quality steel production for inspection, monitoring and safe operations. To solve some of these challenging tasks, this paper proposes computer vision approaches aiming at monitoring the direction of motion of hot steel sections and remotely measuring their dimensions in real time. Automated recognition of the steel section direction is performed first. Next, a new image registration approach is developed based on extrinsic features, and it is combined with frequency domain image fusion ofoptical images. The fused image provides information about the size of high-quality hot steel sections remotely. While the remote sizing approach keeps operators informed of the section dimensions in real time, the mill stands can be configured to provide quality assurance. The performance of the developed approaches is evaluated over real data and achieves accuracy above 95%. The proposed approaches have the potential to introduce an enhanced level of autonomy in manufacturing and provide advanced digitised solutions in steel manufacturing plants.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2023. Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | Vision measurement; Steel manufacturing; Camera calibration; Sizing |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/T013265/1 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/T024291/1 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/T013265/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Oct 2023 15:26 |
Last Modified: | 06 Jan 2025 12:20 |
Status: | Published |
Publisher: | Springer |
Refereed: | Yes |
Identification Number: | 10.1007/s10845-023-02251-9 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:204213 |