Abstract
A quantitative assessment protocol was developed to evaluate potential signal processing methods for THz NDE of spray‐on foam insulation. Automated feature extraction methods were developed to replicate the important visual classification characteristics used by inspectors and a new merit assessment approach was developed to identify the most promising combination of signal processing algorithms. Through application of the protocol to test data, several signal processing methods were found to improve the discrimination of defects.
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