Automatic analysis of images from the THz TDS reflection scanner

We present a method for automatic detection of defects in glass fibre reinforced polymer (GFRP) based on a terahertz time-domain spectroscopy (TDS) system. A GFRP sample with round inclusions of different sizes were measured by means of a TDS reflective scanner. The algorithm acquired a series of C-...

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Bibliographic Details
Published in2023 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) pp. 1 - 2
Main Authors Palka, N., Kaminski, K., Maciejewski, M., Synaszko, P., Dragan, K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.09.2023
Subjects
Glass
Histograms
Polymers
Reflection
Size measurement
Spectroscopy
Terahertz wave imaging
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Summary:We present a method for automatic detection of defects in glass fibre reinforced polymer (GFRP) based on a terahertz time-domain spectroscopy (TDS) system. A GFRP sample with round inclusions of different sizes were measured by means of a TDS reflective scanner. The algorithm acquired a series of C-scans, which were then pre-selected to identify only those images with features potentially associated with defects. A thresholding method based on Gaussian fit to histogram was developed. The results showed that 87% of defects were detected.
ISSN:2162-2035
DOI:10.1109/IRMMW-THz57677.2023.10299015