Automatic classification of weld defects in radiographic images

By Shen Qingming   Gao Jianmin   Li Cheng  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 52, Iss. 3, 2010-03 ,pp. : 134-139

The British Institute of Non-Destructive Testing

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Combining fuzzy logic and neural networks in classification of weld defects using ultrasonic time-of-flight diffraction

By Shitole C'Shekhar N   Zahran O   Al-Nuaimy W  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 49, Iss. 2, 2007-02 ,pp. : 79-82

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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Automatic detection and classification of weld flaws in TOFD data using wavelet transform and support vector machines

By Al-Ataby A   Al-Nuaimy W   Brett C R   Zahran O  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 52, Iss. 11, 2010-11 ,pp. : 597-602

The British Institute of Non-Destructive Testing

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Preliminary study of classification of defects by ultrasonic pulse-echo signals using an artificial neural network

By de Carvalho A A   Veiga J L B C   da Silva I C   Pereira C M N A   Rebello J M A  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 45, Iss. 11, 2003-11 ,pp. : 754-757

The British Institute of Non-Destructive Testing

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