A Deep Artificial Immune System to Detect Weld Defects in DWDI Radiographic Images of Petroleum Pipes

A Deep Artificial Immune System to Detect Weld Defects in DWDI Radiographic Images of Petroleum Pipes

In recent years, research focused on (semi)automatic radiographic inspection methods has gained more attention. The present work proposes a method for detecting defects in radiographic images of welded joints of oil pipes. Real condition images obtained by the double wall double image (DWDI) techniq...

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Bibliographic Details
Main Authors: Celia Cristina Bojarczuk Fioravanti, Tania Mezzadri Centeno, Myriam Regattieri De Biase Da Silva Delgado
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Artificial immune systems
deep learning
radiographic images
discontinuities classification
defect detection
Online Access:https://ieeexplore.ieee.org/document/8933016/

Internet

https://ieeexplore.ieee.org/document/8933016/

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