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Prediction of welding parameters for pipeline welding using an intelligent system

โœ Scribed by I.S. Kim; Y.J. Jeong; C.W. Lee; P.K.D.V. Yarlagadda


Book ID
105850421
Publisher
Springer
Year
2003
Tongue
English
Weight
373 KB
Volume
22
Category
Article
ISSN
0268-3768

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In this paper, a novel automated vision system is introduced to detect and assess the welding defects of gas pipelines from the radiographic films. The proposed vision system was used to capture images for the radiographic films and apply various image processing and computer vision algorithms to de