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An Automated Method for the Measurement of Fatigue Crack Progression
- Source :
- Key Engineering Materials. :445-448
- Publication Year :
- 2013
- Publisher :
- Trans Tech Publications, Ltd., 2013.
-
Abstract
- This letter describes the work conducted at our laboratory for the implementation of an automated vision system for fatigue crack growth measurement. The system relies on a dedicated illumination system with grazing incidence and optimized feature extraction by morphological image processing and continuous calculation of the crack growth, for adjustment of the optimal time interval for image registration.
- Subjects :
- Materials science
business.industry
Machine vision
Mechanical Engineering
Feature extraction
Fatigue testing
Image registration
Image processing
Interval (mathematics)
Structural engineering
Paris' law
Mechanics of Materials
General Materials Science
Computer vision
Artificial intelligence
business
Automated method
Subjects
Details
- ISSN :
- 16629795
- Database :
- OpenAIRE
- Journal :
- Key Engineering Materials
- Accession number :
- edsair.doi...........53d7dbff8572648497177f2723e1558e