Combining Block-based and Pixel-based Approaches to Improve Crack Detection and Localisation

Abdellatif, M orcid.org/0000-0002-7641-4723, Peel, H, Cohn, AG orcid.org/0000-0002-7652-8907 et al. (1 more author) (2021) Combining Block-based and Pixel-based Approaches to Improve Crack Detection and Localisation. Automation in Construction, 122. 103492. ISSN 0926-5805

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: ©2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Keywords: Crack discretisation; Noise tolerance; Accurate crack localization; Pavement distress; Crack repair system; CrackIT
Dates:
  • Accepted: 21 November 2020
  • Published (online): 16 December 2020
  • Published: February 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
Alan Turing InstituteNo ref given
EPSRC (Engineering and Physical Sciences Research Council)EP/N010523/1
Depositing User: Symplectic Publications
Date Deposited: 25 Nov 2020 15:33
Last Modified: 16 Apr 2021 11:33
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.autcon.2020.103492
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