'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 - Université d'Angers Accéder directement au contenu
Article Dans Une Revue Applied Stochastic Models in Business and Industry Année : 2010

'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

Résumé

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.

Dates et versions

hal-03428216 , version 1 (15-11-2021)

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Citer

Fabrice Guérin. '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. Applied Stochastic Models in Business and Industry, 2010, 26 (5), pp.502 - 508. ⟨10.1002/asmb.865⟩. ⟨hal-03428216⟩

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