Robust and consistent defect size measuring method in Automated Vision Inspection system
Abstract
Automatic vision inspection (AVI) systems automatically detect defect features and measure their sizes via camera vision. AVI systems usually report different measurements on same defect with some variations on position or rotation mainly because we get different image. It is caused by possible variations from image acquisition process including optical factors, non-uniform illumination, random noises, and so on. For this reason, conventional area based defect measuring method has a problem on robustness and consistency. In this paper, we propose a new defect size measuring method to overcome this problem. We utilize volume information which is completely ignored in the area based defect measuring method. We choose a cylinder shape as a defect model for experiment. The results show that our proposed method dramatically improves robustness and consistency of defect size measurement. Given proper modeling, the proposed volume based measuring method can be applied to various types of defect.
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Volume-based measuring methods are less suitable for edge defects, where material is deformed or missing, and thus there is no depth to measure.
“Volume-based measuring methods have been attempted [65], though is less suitable for edge defects, where material is deformed or missing, and thus, there is no depth to measure.”
From Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection (2021) · cites this paper as [65]
Cites
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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
“Volume-based measuring methods have been attempted [65], though is less suitable for edge defects, where material is deformed or missing, and thus, there is no depth to measure.”
- Authors
- Joo, Y.-B., Huh, K.-M., Hong, C.-S., & Park, K.-H.
- Affiliations
- Dankook University (KR)
- Jeonbuk National University (KR)
- Kyungpook National University (KR)
- ORCID
- Park, Kil-Houm
- Venue
- 2009 IEEE International Conference on Control and Automation
- Publisher
- IEEE
- Published
- 2009-12
- Volume
- e87 d
- Pages
- 2083-2087
- ISSN
- 1948-3449 (ISSN-L)
- OpenAlex
- W2141018159
- Cited by
- 3
- References
- 8
- Citations by year
- 2021: 1 · 2018: 1
- FWCI
- 0.97
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Control and Automation (publishedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Engineering › Mechanical Engineering › Non-Destructive Testing Techniques
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Keywords
- defect size measurement, measurement robustness, measurement consistency, non-uniform illumination, defect detection
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