## Abstract In the following notes I comment the paper of Liitet al., mainly from the point of view of its original contribution to the methods of analysis of special image data. In particular, I concentrate on several questions connected with the proposed procedure and its results. Copyright © 201
‘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
✍ Scribed by Guérin Fabrice
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 109 KB
- Volume
- 26
- Category
- Article
- ISSN
- 1524-1904
- DOI
- 10.1002/asmb.865
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✦ Synopsis
Abstract
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. Copyright © 2010 John Wiley & Sons, Ltd.
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Statistical methods for automatic crack detection based on vibrothermography sequence-of-images data' by M. Li, S. D. Holland and W. Q. Meeker: Rejoinder We would like to thank Professors Volf and Guerin for taking the time to carefully read our paper and prepare the thought-provoking discussions.
## Abstract Vibrothermography is a relatively new nondestructive evaluation technique for finding cracks through frictional heat generated from crack surface vibrations under external excitations. The vibrothermography inspection method provides a sequence of infrared images as the output. We use a