Comparison of industrial tomography algorithms for gamma scanning 2-D reconstruction
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2016
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WILSON APARECIDO PAREJO CALVO
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WORLD CONGRESS ON INDUSTRIAL PROCESS TOMOGRAPHY, 8th
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In this paper, we compare different industrial tomography algorithms to present the result of gamma scanning as a two-dimensional image of density distribution. In two-dimensional gamma scanning, an unconventional irradiation geometry is used and consequently many classic image reconstruction algorithms cannot be used. We tested two iterative reconstruction methods: ART (Algebraic Reconstruction Technique) and MART (Multiplicative Algebraic Reconstruction Technique). The iteration steps of both methods were intercalated with various filters: mean filter, median filter, anisotropic diffusion and total variation. The use of these filters greatly improves the quality of reconstruction. We report the obtained results.
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KIM, HAE Y.; HARAGUCHI, M.I.; CALVO, W.A.P. Comparison of industrial tomography algorithms for gamma scanning 2-D reconstruction. In: WORLD CONGRESS ON INDUSTRIAL PROCESS TOMOGRAPHY, 8th, September 26-29, 2016, Foz do Iguaçu, PR. Proceedings... p. 1-7. Disponível em: http://repositorio.ipen.br/handle/123456789/31283. Acesso em: 15 Mar 2025.
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