Image processing and wavelets transform for sizing of weld defects using ultrasonic TOFD images

2008 ◽  
Vol 123 (5) ◽  
pp. 3083-3083 ◽  
Author(s):  
Ahmed Kechida ◽  
Redouane Drai ◽  
Abdelsaalam Benammar
Author(s):  
Kalaiselvi V ◽  
John Aravindhar D

Welding is a fabrication of joining materials into one component. Defects are unavoidable during the welding process, and hence the inspection of welds is a most important task in many industries. In this work, a Computer Aided Detection (CAD) system is designed to detect weld defects based on image processing techniques. It is a non-destructive testing which uses X-ray images. The proposed system mainly consists of three stages; gradient image formation, filtration by Gaussian pyramidal filters algorithm and segmentation by Expectation and Maximization (EM) algorithm. In this study, GD X-ray weld image database is used to evaluate the proposed system. The performance analysis of the proposed system is done by measuring the sensitivity, specificity, and accuracy of the segmented image with the help of its corresponding ground truth images.


2017 ◽  
Vol 171 (7) ◽  
pp. 28-39
Author(s):  
Bavanari Satyanarayana ◽  
Asma Abdulelah ◽  
Y. Pragathi

2021 ◽  
Author(s):  
congyi wang ◽  
Xiangdong Gao ◽  
nvjie ma ◽  
Qianwen Liu ◽  
Guiqian liu ◽  
...  

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