Adaptive and Statistical Polygonal Curve for Multiple Weld Defects Detection in Radiographic Images

Author(s):  
Aicha Baya Goumeidane ◽  
Mohammed Khamadja ◽  
Nafaa Nacereddine
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 180947-180964 ◽  
Author(s):  
Celia Cristina Bojarczuk Fioravanti ◽  
Tania Mezzadri Centeno ◽  
Myriam Regattieri De Biase Da Silva Delgado

2009 ◽  
Vol 42 (5) ◽  
pp. 467-476 ◽  
Author(s):  
Rafael Vilar ◽  
Juan Zapata ◽  
Ramón Ruiz

2013 ◽  
Vol 290 ◽  
pp. 71-77
Author(s):  
Wen Ming Guo ◽  
Yan Qin Chen

In the current industrial production, as steel weld X-ray images are low contrasted and noisy, the efficiency and precision can’t be both ensured. This paper has studied three different edge detection algorithms and found the most suitable one to detect weld defects. Combined with this edge detection algorithm, we proposed a new weld defects detection method. This method uses defect features to find the defects in edge images with morphological processing. Compared to the traditional methods, the method has ensured detection quality of weld defects detection.


2016 ◽  
Vol 58 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Changying Dang ◽  
Jianmin Gao ◽  
Zhao Wang ◽  
Yulin Xiao ◽  
Yalin Zhao

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