Adaptive B-Spline Model Based Probabilistic Active Contour for Weld Defect Detection in Radiographic Imaging

Author(s):  
Nafaa Nacereddine ◽  
Latifa Hamami ◽  
Djemel Ziou ◽  
Aicha Baya Goumeidane
2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Mohamed Ben Gharsallah ◽  
Ezzeddine Ben Braiek

Radiography is one of the most used techniques in weld defect inspection. Weld defect detection becomes a complex task when uneven illumination and low contrast characterize radiographic images. In this paper we propose a new active contour based level set method for weld defect detection in radiography images. An off-center saliency map exploited as a feature to represent image pixels is embedded into a region energy minimization function to guide the level set active contour to defects boundaries. The aim behind using salient feature is that a small defect can frequently attract attention of human eyes which permits enhancing defects in low contrasted image. Experiment results on different weld radiographic images with various kinds of defects show robustness and good performance of the proposed approach comparing with other segmentation methods.


2011 ◽  
Vol 131 (9) ◽  
pp. 1633-1641
Author(s):  
Toshifumi Honda ◽  
Kenji Obara ◽  
Minoru Harada ◽  
Hajime Igarashi

2010 ◽  
Vol 29 (10) ◽  
pp. 1768-1780 ◽  
Author(s):  
Gautam S. Muralidhar ◽  
Alan C. Bovik ◽  
J. David Giese ◽  
Mehul P. Sampat ◽  
Gary J. Whitman ◽  
...  
Keyword(s):  

2017 ◽  
Vol 24 (6) ◽  
pp. 653-659
Author(s):  
Qiang Zheng ◽  
Honglun Li ◽  
Baode Fan ◽  
Shuanhu Wu ◽  
Jindong Xu

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