Automated Crack Detection and a Web Tool Using Image Processing Techniques in Concrete Structures
Author:
Publisher
Pleiades Publishing Ltd
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science
Link
https://link.springer.com/content/pdf/10.1134/S1061830923600569.pdf
Reference27 articles.
1. Mohan, A. and Poobal, S., Crack detection using image processing: A critical review and analysis, Alexandria Eng. J., 2018, vol. 57, no. 2, pp. 787–798. https://doi.org/10.1016/j.aej.2017.01.020
2. Yao, Y., Tung, S.-T.E., and Glisic, B., Crack detection and characterization techniques—An overview, Struct. Control Health Monit., 2014, vol. 21, no. 12, pp. 1387–1413. https://doi.org/10.1002/stc.1655
3. Munawar, H.S., Hammad, A.W.A., Haddad, A., Soares, C.A.P., and Waller, S.T., Image-based crack detection methods: A review, Infrastructures, 2021, vol. 6, no. 8, p. 115. https://doi.org/10.3390/infrastructures6080115
4. Golewski, G.L., The phenomenon of cracking in cement concretes and reinforced concrete structures: The mechanism of cracks formation, causes of their initiation, types and places of occurrence, and methods of detection—A review, Buildings, 2023, vol. 13, no. 3, p. 765. https://doi.org/10.3390/buildings13030765
5. Fujita, Y. and Hamamoto, Y., A robust automatic crack detection method from noisy concrete surfaces, Mach. Vision Appl., 2011, vol. 22, no. 2, pp. 245–254. https://doi.org/10.1007/s00138-009-0244-5
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