Transfer Learning With CNN for Classification of Weld Defect

Transfer Learning With CNN for Classification of Weld Defect

Traditional Image Processing Techniques (IPT), used for automating the detection and classification of weld defects from radiography images, have their own limitations, which can be overcome by Deep Neural Networks (DNN). DNN produces considerably good results in fields which offer big dataset for i...

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Bibliographic Details
Main Authors: Samuel Kumaresan, K. S. Jai Aultrin, S. S. Kumar, M. Dev Anand
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Classifier
convolutional neural networks (CNN)
radiographic images
transfer learning
weld defect detection
Online Access:https://ieeexplore.ieee.org/document/9467263/

Internet

https://ieeexplore.ieee.org/document/9467263/

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