Signal Enhancement in Defect Detection of CFRP Material Using a Combination of Difference of Gaussian Convolutions and Sparse Principal Component Thermography
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DOI: 10.1109/access.2022.3212538
Abstract: Owing to its advantages of low-cost and fast detection, pulsed thermography has become a promising technique to detect subsurface defects in materials of carbon fiber reinforced polymer (CFRP). Since defect signals in the detected results… read more here.
Keywords: difference gaussian; sparse principal; thermography; feature extraction ... See more keywords