Evolution of Crack Analysis in Structures Using Image Processing Technique: A Review
Structural 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 t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/18/3862 |
| _version_ | 1797580461374963712 |
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| author | Zakrya Azouz Barmak Honarvar Shakibaei Asli Muhammad Khan |
| author_facet | Zakrya Azouz Barmak Honarvar Shakibaei Asli Muhammad Khan |
| author_sort | Zakrya Azouz |
| collection | DOAJ |
| description | Structural 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. |
| first_indexed | 2024-03-10T22:50:21Z |
| format | Article |
| id | doaj.art-7d718471846f494ab5042ab2a67b00c9 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T22:50:21Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-7d718471846f494ab5042ab2a67b00c92023-11-19T10:22:24ZengMDPI AGElectronics2079-92922023-09-011218386210.3390/electronics12183862Evolution of Crack Analysis in Structures Using Image Processing Technique: A ReviewZakrya Azouz0Barmak Honarvar Shakibaei Asli1Muhammad Khan2Centre for Life-Cycle Engineering and Management, School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, Bedford MK43 0AL, UKCentre for Life-Cycle Engineering and Management, School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, Bedford MK43 0AL, UKCentre for Life-Cycle Engineering and Management, School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, Bedford MK43 0AL, UKStructural 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.https://www.mdpi.com/2079-9292/12/18/3862structural health monitoringcrack analysisimage processingmachine learningimage enhancementdynamic response measurement |
| spellingShingle | Zakrya Azouz Barmak Honarvar Shakibaei Asli Muhammad Khan Evolution of Crack Analysis in Structures Using Image Processing Technique: A Review Electronics structural health monitoring crack analysis image processing machine learning image enhancement dynamic response measurement |
| title | Evolution of Crack Analysis in Structures Using Image Processing Technique: A Review |
| title_full | Evolution of Crack Analysis in Structures Using Image Processing Technique: A Review |
| title_fullStr | Evolution of Crack Analysis in Structures Using Image Processing Technique: A Review |
| title_full_unstemmed | Evolution of Crack Analysis in Structures Using Image Processing Technique: A Review |
| title_short | Evolution of Crack Analysis in Structures Using Image Processing Technique: A Review |
| title_sort | evolution of crack analysis in structures using image processing technique a review |
| topic | structural health monitoring crack analysis image processing machine learning image enhancement dynamic response measurement |
| url | https://www.mdpi.com/2079-9292/12/18/3862 |
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