Mass Determination Algorithms Using High Energy Digital Radiography

Abstract:

The paper presents foundations of the algorithm of processing primary radiographic images of large-size cargoes that allows determination of their masses. Two possible approaches to form definite algorithm of processing radiographic information were analyzed. The choice of the approaches depends on the completeness of information about the test object. The first approach to design mass determination algorithm is connected with inspecting industrial products. Industrial inspecting products are characterized by a completeness of information about the material, its structure, the geometry. The information augmented by selecting maximum X-ray energy and calibrating by test object allows determination the mass of inspecting object by the only radiographic image with high precision. The second approach is caused by indeterminacy and incomplete information about inspecting object. This case is typical for problems of cargo inspection. Corresponding algorithm modification is based on using dual-energy X-ray imaging that allows determination of the effective atomic number of test object and provision of the required precision of mass estimation.

• Periodical: Advanced Materials Research (Volume 1085)
• Pages: 455-459
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1085.455
• Online since: February 2015
• Authors: Sergei Osipov*, Vasilii A. Klimenov, Oleg S. Osipov, Vil'dan D. Samigullin, Aleksandr M. Shtein
• Keywords: Density, Digital Radiography, Dual-Energy X-Ray Imaging, Effective Atomic Number, Mass Determination, X-Ray Radiation

References

[1] M. Gläser, H-W. Thämmel, DDR Patent 3311626. (1991).

[2] L. Grodzins, USA Patent 6, 192, 101. (2001).

[3] P.C. Berry, D.A. Summa, K.G. Vansyoc, The future NDE radiography department, Conference proceedings of IV pan American conference for NDT, Buenos Aires, 2007, pp.1-10.

[4] R.W. Hamm, M.E. Hamm, Industrial accelerators and their applications, World Scientific Pub., Hackensack, NJ, (2012).

[5] I.L. Baciu, Advanced methods for product control and process monitoring, Diss. Università degli Studi di Napoli Federico II, (2007).

DOI: 10.3940/rina.ft.2001.01

[6] V. Rebuffel, J.M. Dinten, Dual-energy X-ray imaging: benefits and limits, Insight-Non-Destructive Testing and Condition Monitoring. 10 (2007) 589-594.

DOI: 10.1784/insi.2007.49.10.589

[7] A.P. Lightman, A.A. Zdziarski, Pair production and Compton scattering in compact sources and comparison to observations of active galactic nuclei, Astrophys. J. 319 (1987) 643-661.

DOI: 10.1086/165485

[8] T. Fuchs, P. Keßling, M. Firsching, F. Nachtrab, G. Scholz, Industrial applications of dual X-ray energy computed tomography (2X-CT), Nondestructive Testing of Materials and Structures. Springer Netherlands. 6 (2013) 97-103.

DOI: 10.1007/978-94-007-0723-8_13

[9] O.I. Nedavnii, S.P. Osipov, O.A. Sidulenko, Computational aspects of dual energy digital X-ray photography, Russ. J. Nondestr. Test. 3 (2002) 170-175.

[10] O.I. Sidulenko, V.A. Kas'yanov, S.V. Kas'yanov, S.P. Osipov, Issledovanie vozmozhnosti primeneniya malogabaritnykh betatronov dlya identifikatsii veshchestv ob"ektov kontrolya metodom dual'nykh energii [A study of application of small-size betatrons for substance identification using a dual-energy X-ray imaging], Kontrol'. Diagnostika (Testing. Diagnostics, ). 8 (2008).

[11] S.V. Chakhlov, S.P. Osipov, Dual high-energy method to identificate substancies of test object, Testing. Diagnostics. 9 (2013) 9-17.