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Appl. Sci. 2018, 8(3), 459; https://doi.org/10.3390/app8030459

Extraction of Independent Structural Images for Principal Component Thermography

1
Department of Physics, University of Windsor, Windsor, ON N9B 3P4, Canada
2
Institute for Diagnostic Imaging Research, University of Windsor, Windsor, ON N9A 5R5, Canada
*
Author to whom correspondence should be addressed.
Received: 30 January 2018 / Revised: 6 March 2018 / Accepted: 8 March 2018 / Published: 17 March 2018
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Abstract

Thermography is a powerful tool for non-destructive testing of a wide range of materials. Thermography has a number of approaches differing in both experiment setup and the way the collected data are processed. Among such approaches is the Principal Component Thermography (PCT) method, which is based on the statistical processing of raw thermal images collected by thermal camera. The processed images (principal components or empirical orthogonal functions) form an orthonormal basis, and often look like a superposition of all possible structural features found in the object under inspection—i.e., surface heating non-uniformity, internal defects and material structure. At the same time, from practical point of view it is desirable to have images representing independent structural features. The work presented in this paper proposes an approach for separation of independent image patterns (archetypes) from a set of principal component images. The approach is demonstrated in the application of inspection of composite materials as well as the non-invasive analysis of works of art. View Full-Text
Keywords: active thermography; principal component analysis; image processing; non-destructive evaluation active thermography; principal component analysis; image processing; non-destructive evaluation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Gavrilov, D.; Maev, R.G. Extraction of Independent Structural Images for Principal Component Thermography. Appl. Sci. 2018, 8, 459.

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