Optimization of radiogram thresholding procedure
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Abstract
This study deals with the automated segmentation of radiographic pictures, which is an important task in the process of automatic weld defect recognition. Generally, the process of radiogram binarisation is controlled by several parameters, the selection of which is a very demanding task that strongly influences the overall results. This paper presents an algorithm for an automatic selection thresholding method as well as its parameters using genetic programming techniques. The proposed method could be applied as part of the industrial process of automatic radiogram analysis.
Optymalizacja procedury progowania radiogramów
Streszczenie
Praca porusza zagadnienia związane z procesem automatycznej obróbki i analizy cyfrowych zdjęć radiograficznych połączeń spawanych. W pracy zaprezentowano metodę doboru parametrów progowania zdjęć radiograficznych celem ekstrakcji obiektów potencjalnych niezgodności spawalniczych. Dobór optymalnych parametrów procedury progowania dokonywany jest za pomocą techniki programowania genetycznego.
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Welding Technology Review (WTR) articles are published open access under a CC BY licence (Creative Commons Attribution 4.0 International licence). The CC BY licence is the most open licence available and considered the industry 'gold standard' for open access; it is also preferred by many funders. This licence allows readers to copy and redistribute the material in any medium or format, and to alter, transform, or build upon the material, including for commercial use, providing the original author is credited.
References
Da Silva,R.R.,etal.,Evaluation of therelevant characteristic parameters of welding defects and probability of correct classification using linear classifiers, Insight, 2002. 44(10): p. 616-622.
Mery, D., et al., Fully automated X-ray inspection. non-destructive testing in industrial applications, Materialprufung, 2001. 43(11- 12): p. 433-441.
Sikora, R., et al., Intelligent System for Radiogram Analysis, Review of Progress in Quantitative nondestructive Evaluation, Vols 30a and 30b, 2011. 1335: p. 525-532.
Sikora, R., et al., Comparison of selected weld defect extraction methods, Review of Progress in Quantitative nondestructive Evaluation, Vol 27a and 27b, 2008. 975: p. 1034-1041.
Koza, J.R., Genetic programming : on the programming of computers by means of natural selection. Complex adaptive systems. 1992, Cambridge, Mass.: MIT Press.