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Inline multi-material identification via dual energy radiographic measurements

(2018) NDT & E INTERNATIONAL. 94. p.120-125
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Abstract
In the waste recycling industry, material separation is of key importance. In this paper, we present a new material identification method, based on dual-energy X-ray radiographic images, developed in the context of waste recycling industry. The algorithm is based on a dual energy technique and allows to estimate the effective atomic number of the sample under investigation. A projection simulator with high accuracy that allows to simulate realistic measurements of a wide range of materials is used. The resulting virtual measurements are then used in an identification tool, which achieves the identification by comparing the virtual and actual measurements. Via this procedure, an extensive range of materials and thicknesses can be analyzed and identified. Finally, an optimization scheme has been developed, which allows the selection of an ideal setting for the scanner, in order to optimize the identification process.
Keywords
Dual Energy, Multi-Material Identification, Setup Optimization, X-ray, EFFECTIVE ATOMIC-NUMBER, MICRO-CT, RAY, TOMOGRAPHY, SCANNER, DENSITY, WASTE, UGCT

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Citation

Please use this url to cite or link to this publication:

MLA
Duvillier, Jeroen, Manuel Dierick, Jelle Dhaene, et al. “Inline Multi-material Identification via Dual Energy Radiographic Measurements.” NDT & E INTERNATIONAL 94 (2018): 120–125. Print.
APA
Duvillier, J., Dierick, M., Dhaene, J., Van Loo, D., Masschaele, B., Geurts, R., Van Hoorebeke, L., et al. (2018). Inline multi-material identification via dual energy radiographic measurements. NDT & E INTERNATIONAL, 94, 120–125.
Chicago author-date
Duvillier, Jeroen, Manuel Dierick, Jelle Dhaene, Denis Van Loo, Bert Masschaele, Roeland Geurts, Luc Van Hoorebeke, and Matthieu Boone. 2018. “Inline Multi-material Identification via Dual Energy Radiographic Measurements.” Ndt & E International 94: 120–125.
Chicago author-date (all authors)
Duvillier, Jeroen, Manuel Dierick, Jelle Dhaene, Denis Van Loo, Bert Masschaele, Roeland Geurts, Luc Van Hoorebeke, and Matthieu Boone. 2018. “Inline Multi-material Identification via Dual Energy Radiographic Measurements.” Ndt & E International 94: 120–125.
Vancouver
1.
Duvillier J, Dierick M, Dhaene J, Van Loo D, Masschaele B, Geurts R, et al. Inline multi-material identification via dual energy radiographic measurements. NDT & E INTERNATIONAL. 2018;94:120–5.
IEEE
[1]
J. Duvillier et al., “Inline multi-material identification via dual energy radiographic measurements,” NDT & E INTERNATIONAL, vol. 94, pp. 120–125, 2018.
@article{8544313,
  abstract     = {In the waste recycling industry, material separation is of key importance. In this paper, we present a new material identification method, based on dual-energy X-ray radiographic images, developed in the context of waste recycling industry. The algorithm is based on a dual energy technique and allows to estimate the effective atomic number of the sample under investigation. A projection simulator with high accuracy that allows to simulate realistic measurements of a wide range of materials is used. The resulting virtual measurements are then used in an identification tool, which achieves the identification by comparing the virtual and actual measurements. Via this procedure, an extensive range of materials and thicknesses can be analyzed and identified. Finally, an optimization scheme has been developed, which allows the selection of an ideal setting for the scanner, in order to optimize the identification process.},
  author       = {Duvillier, Jeroen and Dierick, Manuel and Dhaene, Jelle and Van Loo, Denis and Masschaele, Bert and Geurts, Roeland and Van Hoorebeke, Luc and Boone, Matthieu},
  issn         = {0963-8695},
  journal      = {NDT & E INTERNATIONAL},
  keywords     = {Dual Energy,Multi-Material Identification,Setup Optimization,X-ray,EFFECTIVE ATOMIC-NUMBER,MICRO-CT,RAY,TOMOGRAPHY,SCANNER,DENSITY,WASTE,UGCT},
  language     = {eng},
  pages        = {120--125},
  title        = {Inline multi-material identification via dual energy radiographic measurements},
  url          = {http://dx.doi.org/10.1016/j.ndteint.2018.01.002},
  volume       = {94},
  year         = {2018},
}

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