Weld Defect Classification Using Polar Radius Signature And Neural Network
An automatic defect classification system was developed in this research using simulated image database and polar radius signature and neural network classifier to identify different types of defect in radiographic images of welds. Programs were developed by using Languange C to obtain polar r...
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Format: | Monograph |
Language: | English |
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Universiti Sains Malaysia
2005
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Online Access: | http://eprints.usm.my/58207/1/Weld%20Defect%20Classification%20Using%20Polar%20Radius%20Signature%20And%20Neural%20Network_Teow%20Soo%20Pei.pdf http://eprints.usm.my/58207/ |
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