We study the influence of preliminary processing of digital X-ray images by their median filtering and brightness normalization by nonsharp masking and contrast enhancement on the basis of a logarithmictype model on the results of testing. Examples of experimental detection of defects in welds of various types are presented.
Access this article
We’re sorry, something doesn't seem to be working properly.
Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.
Similar content being viewed by others
References
J. Shao, D. Du, H. Shi, et al., “Automatic weld recognition and extraction from real-time X-ray images using quadratic curve fitting and multi-order differences analysis of intensity profile,” Insight, 53, No. 10, 562–569 (2011).
J. Hassan, A. Majid Awan, and A. Jalil, “Welding defect detection and classification using geometric features,” in: Proc. of the IEEE 10th Internat. Conf. on the Frontiers of Information Technology (December 17–19, 2012, Islamabad), Islamabad (2012), pp. 139–144.
M. Kroetz, T. M. Centeno, M. R. Delgado, et al., “Genetic algorithms to automatic weld bead detection in double wall double image digital radiographs,” in: J. Liu and C. Alippi (editors), Proc. of the WCCI 2012 IEEE World Congr. on Computational Intelligence (June 10–15, 2012, Brisbane, Australia), Springer (2012), pp. 1–7.
T. Mandziy, “Active shape models with adaptive weights,” Vidbir Obrob. Inform., Issue 30 (106), 133–137 (2009)
T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham, “Active shape models – their training and application,” Comput. Vision Image Understand., 61(1), 38–59 (1995).
V. R. Rathod and R. S. Anand, “A novel method for detection and quantification of incomplete penetration type flaws in weldments,” J. X-Ray Sci. Technol., 19, 261–274 (2011).
R. A. Vorobel’, “Logarithmic processing of images. Part 1: Basic model,” Vidbir Obrob. Inform., Issue 31 (107), 26–35 (2009)
R. A. Vorobel’, Logarithmic Processing of Images [in Ukrainian], Naukova Dumka, Kyiv (2012).
V. V. Botsyan and R. A. Vorobel’, “Improvement of images with the help of an adaptive logarithmic-type model,” Vidbir Obrob. Inform., Issue 37(113), 86–92 (2012).
I. B. Ivasenko, “Localization and segmentation of objects on different scales with the use of information function,” Vidbir Obrob. Inform., Issue 22(98), 76–80 (2005).
R. A. Vorobel’, N. V. Opyr, Z. А. Bernyk, and O. R. Beregulyak, “Computer technology for the determination of sensitivity of X-ray testing according to an image of a grooved standard,” Defektoskopiya, No. 5, 81–89 (2009)
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Fizyko-Khimichna Mekhanika Materialiv, Vol. 49, No. 4, pp. 48–55, July–August, 2013.
Rights and permissions
About this article
Cite this article
Vorobel, R.A., Ivasenko, I.B., Mandzii, T.S. et al. Influence of Primary Processing on the Segmentation of X-ray Images of Welds. Mater Sci 49, 469–477 (2014). https://doi.org/10.1007/s11003-014-9638-2
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11003-014-9638-2