Automatic recognition of welding defects in real-time radiography |
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| Affiliation: | 1. Industrial Tomography and Instrumentation Section, Isotope and Radiation Application Division, Bhabha Atomic Research Centre (BARC), Trombay, Mumbai, 400085, India;2. Homi Bhabha National Institute, Anushaktinagar, Mumbai, 400094, India;3. Reactor Engineering Division, Bhabha Atomic Research Centre (BARC), Trombay, Mumbai, 400085, India;4. Radiological Physics and Advisory Division, Bhabha Atomic Research Centre (BARC), Trombay, Mumbai, 400085, India;5. Radiopharmaceuticals Division, Bhabha Atomic Research Centre (BARC), Trombay, Mumbai, 400085, India;1. Research Center in Industrial Technologies CRTI, P.O.Box 64, Chéraga 16014, Algiers, Algeria;2. DMI, Université de Sherbrooke, Québec, QC J1K 2R1, Canada;1. School of Computing, SASTRA University, Thanjavur, Tamil Nadu, India;2. Indira Gandhi Centre for Atomic Research, Kalpakkam, Tamil Nadu, India;3. Bhabha Atomic Research Centre, Trombay, Maharashtra, India;1. School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, China;2. School of Information and Communication Engineering, Hainan University, Haikou 570228, China;3. School of Electronics and Information Engineering, Xi’an Technological University, Xi’an 710021, China |
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| Abstract: | This paper describes a real-time radiography configuration for the automatic inspection of welds. The optimal geometrical imaging configuration is evaluated and discussed in relation to conventional film radiography. For the automatic inspection of X-ray images, a two-step analysis was adopted: a fast search for defective regions, followed by fine identification and location of defects. Two different algorithms, based on the relative irregular behaviour of a defect, were developed for the fast search procedure. The second step, fine identification, can be achieved by a sequential similarity detection algorithm or by a thresholding algorithm. The different methods were applied to various X-ray images of welds and the automatic inspection was evaluated and compared with visual inspection. |
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