‘Statistical methods for automatic crack detection based on vibrothermography sequence-of-image data’ by M. Li, S. D. Holland and W. Q. Meeker: Discussion 2
| Autor: | Guérin, Fabrice |
|---|---|
| Přispěvatelé: | Laboratoire en Sûreté de Fonctionnement, Qualité & Organisation (LASQUO), Université d'Angers (UA)-ISTIA |
| Rok vydání: | 2010 |
| Předmět: |
010302 applied physics
detection criteria physical approach 02 engineering and technology Management Science and Operations Research 021001 nanoscience & nanotechnology 01 natural sciences General Business Management and Accounting [SPI]Engineering Sciences [physics] nondestuctive evaluation Modeling and Simulation 0103 physical sciences 0210 nano-technology probability of detection |
| Zdroj: | Applied Stochastic Models in Business and Industry Applied Stochastic Models in Business and Industry, 2010, 26 (5), pp.502-508. ⟨10.1002/asmb.865⟩ |
| ISSN: | 1524-1904 1526-4025 |
| Popis: | International audience; The paper written by M. Li, S. D. Holland and W. Q. Meeker [Applied Stochastic Models in Business and Industry] presents statistical methods for automatic Crack detection based on vibrothermography sequence-of-image data. In particular, a matched filter used to increase the signal-to-noise ratio is developed. The review gives suggestions about physical approach and detection criteria. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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