Comparison of industrial tomography algorithms for gamma scanning 2-D reconstruction

• Autor(a) principal: KIM, HAE Y.
• Data de Publicação: 2020
• Outros Autores: HARAGUCHI, M.I., CALVO, W.A.P., WORLD CONGRESS ON INDUSTRIAL PROCESS TOMOGRAPHY, 8th
• Tipo de documento: Artigo de conferência
• Título da fonte: Repositório Institucional do IPEN
• Texto Completo: http://repositorio.ipen.br/handle/123456789/31283

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.