Computer vision methods for automating high temperature steel section sizing in thermal images

Wang, P., Lin, Y., Ree, M. et al. (2 more authors) (2019) Computer vision methods for automating high temperature steel section sizing in thermal images. In: Proceedings of the IEEE Sensor Data Fusion Workshop. IEEE Sensor Data Fusion Workshop, 15-17 Oct 2019, Bonn, Germany. Institute of Electrical and Electronics Engineers (IEEE) . ISBN 9781728150864

Abstract

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Keywords: Thermal measurement; Steel manufacturing; Monocular vision; Edge detection; Hot-state sizing
Dates:
  • Accepted: 16 September 2019
  • Published (online): 28 November 2019
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:
FunderGrant number
Liberty Speciality Steels (LSS)N/A
Depositing User: Symplectic Sheffield
Date Deposited: 15 Oct 2019 07:59
Last Modified: 28 Nov 2020 01:51
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/SDF.2019.8916635

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