A Dataset of Pulsed Thermography for Automated Defect Depth Estimation

A Dataset of Pulsed Thermography for Automated Defect Depth Estimation

Pulsed thermography is an established nondestructive evaluation technology that excels at detecting and characterizing subsurface defects within specimens. A critical challenge in this domain is the accurate estimation of defect depth. In this paper, a new publicly accessible pulsed infrared dataset...

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Bibliographic Details
Main Authors: Ziang Wei, Ahmad Osman, Bernd Valeske, Xavier Maldague
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Applied Sciences
Subjects:
pulsed thermography
deep learning
defect detection
depth estimation
Online Access:https://www.mdpi.com/2076-3417/13/24/13093

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