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Proceedings Paper

Signal to noise studies on thermographic data with fabricated defects for defense structures
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Paper Abstract

There is a growing international interest in thermal inspection systems for asset life assessment and management of defense platforms. The efficacy of flash thermography is generally enhanced by applying image processing algorithms to the observations of raw temperature. Improving the defect signal to noise ratio (SNR) is of primary interest to reduce false calls and allow for easier interpretation of a thermal inspection image. Several factors affecting defect SNR were studied such as data compression and reconstruction using principal component analysis and time window processing.

Paper Details

Date Published: 18 April 2006
PDF: 9 pages
Proc. SPIE 6205, Thermosense XXVIII, 620518 (18 April 2006); doi: 10.1117/12.669134
Show Author Affiliations
Joseph N. Zalameda, NASA Langley Research Ctr. (United States)
Nik Rajic, Defence Science and Technology Organisation (Australia)
Marc Genest, National Research Council Canada (Canada)

Published in SPIE Proceedings Vol. 6205:
Thermosense XXVIII
Jonathan J. Miles; G. Raymond Peacock; Kathryn M. Knettel, Editor(s)

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