Automatic Detection and Identification of Defects by Deep Learning Algorithms from Pulsed Thermography Data

Automatic Detection and Identification of Defects by Deep Learning Algorithms from Pulsed Thermography Data

Infrared thermography (IRT), is one of the most interesting techniques to identify different kinds of defects, such as delamination and damage existing for quality management of material. Objective detection and segmentation algorithms in deep learning have been widely applied in image processing, a...

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Bibliographic Details
Main Authors: Qiang Fang, Clemente Ibarra-Castanedo, Iván Garrido, Yuxia Duan, Xavier Maldague
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
deep-learning non-destructive evaluation (NDE)
automatic defect identification and segmentation
infrared thermography
pulsed thermography
infrared image processing
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/23/9/4444

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https://www.mdpi.com/1424-8220/23/9/4444

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