Airplane tire inspection by image processing techniques
Open accessAbstract
In this paper, we propose a new approach to detect and inspect airplane tires. We use normalized correlation based template matching to detect tires and GrabCut segmentation method to extract them from the background. We inspect the tires condition by investigating the tire treads. Ridge based intensity profiling gives satisfying inspection results.
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Automated inspection systems have been developed for detecting damages on aircraft wings and fuselage, tyres, engines and composite parts.
“In aviation, automated inspection systems have been developed for detecting damages on aircraft wings and fuselage [16-21], tyres [22], engines and composite parts [16,23-26].”
From Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection (2021) · cites this paper as [22]
Cites
GrabCut: Interactive foreground extraction using iterated graph cuts
Rother, C., Kolmogorov, V., & Blake, A. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015720 · Cited by 5,703 · see citing works
Visual saliency estimation by nonlinearly integrating features using region covariances
Erdem, E., & Erdem, A. (2013) · Journal of Vision · doi:10.1167/13.4.11 · Cited by 399 · see citing works
Automated exterior inspection of an aircraft with a pan-tilt-zoom camera mounted on a mobile robot
Jovančević, I., Larnier, S., Orteu, J., & Sentenac, T. (2015) · Journal of Electronic Imaging · doi:10.1117/1.jei.24.6.061110 · Cited by 57 · see citing works
Self-citationA dictionary-based method for tire defect detection
Xiang, Y., Zhang, C., & Guo, Q. (2014) · IEEE International Conference on Information and Automation (ICIA) · doi:10.1109/icinfa.2014.6932710 · Cited by 36 · see citing works
Inspection of tire tread defects using image processing and pattern recognition techniques
Chen, P., Shubinsky, G. D., Jan, K.-H., et al. (1993) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.164968 · Cited by 13 · see citing works
Flagged first, then by citations
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Sorted by citations
Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection
Aust, J., Shankland, S., Pons, D., Mukundan, R., & Mitrovic, A. (2021) · Aerospace · doi:10.3390/aerospace8020030 · Cited by 66 · see citing works
“In aviation, automated inspection systems have been developed for detecting damages on aircraft wings and fuselage [16–21], tyres [22], engines and composite parts [16,23–26].”
Method
- Authors
- Jovancevic, I., Arafat, A., Orteu, J.-J., & Sentenac, T.
- Affiliations
- Université Toulouse III - Paul Sabatier (FR)
- ORCID
- Sentenac, Thierry
- Venue
- 2016 5th Mediterranean Conference on Embedded Computing (MECO)
- Publisher
- IEEE
- Published
- 2016-06
- Pages
- 176-179
- OpenAlex
- W2505881621
- Cited by
- 16
- References
- 5
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2022: 3 · 2021: 4 · 2019: 1 · 2018: 1 · 2017: 2 · 2016: 1
- FWCI
- 2.77
- Type
- conference paper
- Language
- en
- Open access
- green
- hal.science
- Licence
- other-oa
- Locations
- Mediterranean Conference on Embedded Computing (MECO) (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Keywords
- GrabCut segmentation, image processing
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