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Infrared Non-Destructive Testing via Semi-Nonnegative Matrix Factorization

Computer vision and systems laboratory, Department of Electrical and Computer Engineering, Laval University, Quebec City G1V 0A6, QC, Canada
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Presented at the 15th International Workshop on Advanced Infrared Technology and Applications (AITA 2019), Florence, Italy, 17–19 September 2019.
Proceedings 2019, 27(1), 13; https://doi.org/10.3390/proceedings2019027013
Published: 20 September 2019
Detection of subsurface defects is undeniably a growing subfield of infrared non-destructive testing (IR-NDT). There are many algorithms used for this purpose, where non-negative matrix factorization (NMF) is considered to be an interesting alternative to principal component analysis (PCA) by having no negative basis in matrix decomposition. Here, an application of Semi non-negative matrix factorization (Semi-NMF) in IR-NDT is presented to determine the subsurface defects of an Aluminum plate specimen through active thermographic method. To benchmark, the defect detection accuracy and computational load of the Semi-NMF approach is compared to state-of-the-art thermography processing approaches such as: principal component thermography (PCT), Candid Covariance-Free Incremental Principal Component Thermography (CCIPCT), Sparse PCT, Sparse NMF and standard NMF with gradient descend (GD) and non-negative least square (NNLS). The results show 86% accuracy for 27.5s computational time for SemiNMF, which conclusively indicate the promising performance of the approach in the field of IR-NDT.
Keywords: subsurface defect detection; Semi Non-negative matrix factorization (Semi-NMF); infrared non-destructive testing (IR-NDT) subsurface defect detection; Semi Non-negative matrix factorization (Semi-NMF); infrared non-destructive testing (IR-NDT)
MDPI and ACS Style

Yousefi, B.; Ibarra-Castanedo, C.; Maldague, X.P.V. Infrared Non-Destructive Testing via Semi-Nonnegative Matrix Factorization. Proceedings 2019, 27, 13. https://doi.org/10.3390/proceedings2019027013

AMA Style

Yousefi B, Ibarra-Castanedo C, Maldague XPV. Infrared Non-Destructive Testing via Semi-Nonnegative Matrix Factorization. Proceedings. 2019; 27(1):13. https://doi.org/10.3390/proceedings2019027013

Chicago/Turabian Style

Yousefi, Bardia; Ibarra-Castanedo, Clemente; Maldague, Xavier P.V. 2019. "Infrared Non-Destructive Testing via Semi-Nonnegative Matrix Factorization" Proceedings 27, no. 1: 13. https://doi.org/10.3390/proceedings2019027013

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