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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Gawryluk, Dariusz Jakub
Paul Scherrer Institute
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (5/5 displayed)
- 2024YBa$_{1-x}$Sr$_{x}$CuFeO$_{5}$ layered perovskites: exploring the magnetic order beyond the paramagnetic-collinear-spiral triple pointcitations
- 2023Spin-orbit control of antiferromagnetic domains without a Zeeman coupling
- 2022Universal spin-glass behaviour in bulk LaNiO2, PrNiO2 and NdNiO2
- 2021RENiO3 Single Crystals (RE = Nd, Sm, Gd, Dy, Y, Ho, Er, Lu) Grown from Molten Salts under 2000 bar of Oxygen Gas Pressurecitations
- 2021Resolving Gas Bubbles Ascending in Liquid Metal from Low-SNR Neutron Radiography Imagescitations
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article
Resolving Gas Bubbles Ascending in Liquid Metal from Low-SNR Neutron Radiography Images
Abstract
<jats:p>We demonstrate a new image processing methodology for resolving gas bubbles travelling through liquid metal from dynamic neutron radiography images with an intrinsically low signal-to-noise ratio. Image pre-processing, denoising and bubble segmentation are described in detail, with practical recommendations. Experimental validation is presented—stationary and moving reference bodies with neutron-transparent cavities are radiographed with imaging conditions representative of the cases with bubbles in liquid metal. The new methods are applied to our experimental data from previous and recent imaging campaigns, and the performance of the methods proposed in this paper is compared against our previously achieved results. Significant improvements are observed as well as the capacity to reliably extract physically meaningful information from measurements performed under highly adverse imaging conditions. The showcased image processing solution and separate elements thereof are readily extendable beyond the present application, and have been made open-source.</jats:p>