Evolution of crack analysis in structures using image processing technique: a review

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dc.contributor.authorAzouz, Zakrya
dc.contributor.authorHonarvar Shakibaei Asli, Barmak
dc.contributor.authorKhan, Muhammad
dc.date.accessioned2023-09-19T11:24:24Z
dc.date.available2023-09-19T11:24:24Z
dc.date.issued2023-09-12
dc.description.abstractStructural health monitoring (SHM) involves the control and analysis of mechanical systems to monitor the variation of geometric features of engineering structures. Damage processing is one of the issues that can be addressed by using several techniques derived from image processing. There are two types of SHM: contact-based and non-contact methods. Sensors, cameras, and accelerometers are examples of contact-based SHM, whereas photogrammetry, infrared thermography, and laser imaging are non-contact SHM techniques. In this research, our focus centres on image processing algorithms to identify the crack and analyze its properties to detect occurred damages. Based on the literature review, several preprocessing approaches were employed including image enhancement, image filtering to remove the noise and blur, and dynamic response measurement to predict the crack propagation.en_UK
dc.identifier.citationAzouz Z, Honarvar Shakibaei Asli H, Khan M. (2023) Evolution of crack analysis in structures using image processing technique: a review. Electronics, Volume 12, Issue 18, September 2023, Article number 3862en_UK
dc.identifier.issn2079-9292
dc.identifier.urihttps://doi.org/10.3390/electronics12183862
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20246
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectstructural health monitoringen_UK
dc.subjectcrack analysisen_UK
dc.subjectimage processingen_UK
dc.subjectmachine learningen_UK
dc.subjectimage enhancementen_UK
dc.subjectdynamic response measurementen_UK
dc.titleEvolution of crack analysis in structures using image processing technique: a reviewen_UK
dc.typeArticleen_UK

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