Automatic Detection of Welding Defects using Deep Neural Network
In this paper, we propose an automatic detection schema including three stages for weld defects in x-ray images. Firstly, the preprocessing procedure for the image is implemented to locate the weld region; Then a classification model which is trained and tested by the patches cropped from x-ray imag...
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Published in | Journal of physics. Conference series Vol. 933; no. 1; pp. 12006 - 12015 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
03.01.2018
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Subjects | |
Online Access | Get full text |
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