Journal
NDT & E INTERNATIONAL
Volume 43, Issue 8, Pages 661-666Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.ndteint.2010.07.002
Keywords
Thermography; TNDT; Statistic method; Skewness; Kurtosis; Higher-order central moment
Funding
- Spanish Science and Technology Minister [TEC2007-67987-C02-01]
- Chaire de recherche du Canada (MiViM)
- Ministere du developpement economique, innovation et exportation du Quebec
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Active thermography has reached a high status as a non-destructive evaluation method due to both ease and speed of inspection. Nevertheless, automatic processing of an infrared (IR) sequence is essential in order to reduce human intervention. Unfortunately, this target is difficult to achieve given the amount of data recorded by the IR camera during a typical inspection process and human participation is absolutely necessary. In this paper, higher-order statistics (HOS) analysis is employed to process IR sequences and to compress the most useful information into a unique image for each inspection. Pulsed infrared thermographic temporal response is well-known with a statistical behaviour. This statistical behaviour is analyzed and the results fits application to carbon fibres reinforced plastic (CFRP) samples are reported. (C) 2010 Elsevier Ltd. All rights reserved.
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