A novel method for detecting weld defects accurately and reliably in radiographic images

By Dang Changying   Gao Jianmin   Wang Zhao   Xiao Yulin   Zhao Yalin  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 58, Iss. 1, 2016-01 ,pp. : 28-34

The British Institute of Non-Destructive Testing

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Automatic classification of weld defects using simulated data and an MLP neural network

By Lim T Y   Ratnam M M   Khalid M A  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 49, Iss. 3, 2007-03 ,pp. : 154-159

The British Institute of Non-Destructive Testing

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Automatic classification approach to weld defects based on PCA and SVM

By Mu Weilei   Gao Jianmin   Jiang Hongquan   Wang Zhao   Chen Fumin   Dang Changying  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 55, Iss. 10, 2013-10 ,pp. : 535-539

The British Institute of Non-Destructive Testing

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Reliability of the manual and automatic ultrasonic technique in the detection of pipe weld defects

By Carvalho A A   Rebello J M A   Silva R R   Sagrilo L V S  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 48, Iss. 11, 2006-11 ,pp. : 649-654

The British Institute of Non-Destructive Testing

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Automatic detection and sizing of pores from radiographic images using the Hough transform

By Arunmuthu K   Kumar P Arun   Saravanan T   Philip John   Jayakumar T   Raj Baldev  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 52, Iss. 10, 2010-10 ,pp. : 540-547

The British Institute of Non-Destructive Testing

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