Automatic Defects Segmentation and Identification by Deep Learning Algorithm with Pulsed Thermography: Synthetic and Experimental Data
In quality evaluation (QE) of the industrial production field, infrared thermography (IRT) is one of the most crucial techniques used for evaluating composite materials due to the properties of low cost, fast inspection of large surfaces, and safety. The application of deep neural networks tends to...
Main Authors: | Qiang Fang, Clemente Ibarra-Castanedo, Xavier Maldague |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
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Series: | Big Data and Cognitive Computing |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-2289/5/1/9 |
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