𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Statistical methods for automatic crack detection based on vibrothermography sequence-of-images data

✍ Scribed by Ming Li; Stephen D. Holland; William Q. Meeker

Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
776 KB
Volume
26
Category
Article
ISSN
1524-1904

No coin nor oath required. For personal study only.

✦ Synopsis

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 matched filter technique to increase the signal‐to‐noise ratio of the sequence‐of‐images data. An automatic crack detection criterion based on the features extracted from the matched filter output greatly increases the sensitivity of the vibrothermography inspection method. In this paper, we develop a three‐dimensional matched filter for the sequence‐of‐images data, which presents the statistical analysis for the matched filter output, and evaluate the probability of detection. Our results show the crack detection criterion based on the matched filter output provides an improved detection capability. Copyright © 2010 John Wiley & Sons, Ltd.

📜 SIMILAR VOLUMES

‘Statistical methods for automatic crack
‘Statistical methods for automatic crack detection based on vibrothermography sequence-of-images data’ by M. Li, S. D. Holland and W. Q. Meeker: Rejoinder
✍ Ming Li; Stephen D. Holland; William Q. Meeker 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 48 KB

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.

‘Statistical methods for automatic crack
‘Statistical methods for automatic crack detection based on vibrothermography sequence-of-images data’ by M. Li, S. D. Holland and W. Q. Meeker: Discussion 1
✍ Petr Volf 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 371 KB

## 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
‘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
✍ Guérin Fabrice 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 109 KB

## 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‐t

Image Analysis for Video Surveillance Ba
Image Analysis for Video Surveillance Based on Spatial Regularization of a Statistical Model-Based Change Detection
✍ Francesco Ziliani; Andrea Cavallaro 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 608 KB

A dvanced video surveillance applications require two successive phases: image analysis and content understanding. The first phase analyzes and extracts the characteristics of the video sequence. It defines the regions or the objects of interest according to their spatial/ temporal properties. This