Automated Categorization of Multiclass Welding Defects Using the X-ray Image Augmentation and Convolutional Neural Network

Automated Categorization of Multiclass Welding Defects Using the X-ray Image Augmentation and Convolutional Neural Network

The detection of weld defects by using X-rays is an important task in the industry. It requires trained specialists with the expertise to conduct a timely inspection, which is costly and cumbersome. Moreover, the process can be erroneous due to fatigue and lack of concentration. In this context, thi...

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Bibliographic Details
Main Authors: Dalila Say, Salah Zidi, Saeed Mian Qaisar, Moez Krichen
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
CNN
deep learning
multi-class classification
data augmentation
welding defects
segmentation
Online Access:https://www.mdpi.com/1424-8220/23/14/6422

Internet

https://www.mdpi.com/1424-8220/23/14/6422

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