Review of porosity uncertainty estimation methods in computed tomography dataset

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dc.contributor.authorJaques, Victorycs
dc.contributor.authorDu Plessis, Antoncs
dc.contributor.authorZemek, Marekcs
dc.contributor.authorŠalplachta, Jakubcs
dc.contributor.authorŠtubianová, Zuzanacs
dc.contributor.authorZikmund, Tomášcs
dc.contributor.authorKaiser, Jozefcs
dc.coverage.issue8cs
dc.coverage.volume32cs
dc.date.accessioned2021-09-22T14:57:30Z
dc.date.available2021-09-22T14:57:30Z
dc.date.issued2021-08-23cs
dc.description.abstractX-ray computed tomography is widely used for non-destructive testing and analysis in a broad variety of fields. Its main usage is for 3D porosity identification and quantification. This can be achieved through the image segmentation of the reconstructed dataset which can have a huge impact on the porosity value. The most widely used segmentation algorithms are based on global thresholding, which takes the whole volume into account. To ensure a certain level of confidence and reproducibility of the porosity value, a thorough description of the workflow should be available with uncertainty estimation. This workflow description is often insufficient and the uncertainty missing according to a review of the literature. This work provides recommendations on how to report the processing steps for the porosity evaluation based on computed tomography data and reviews methods for the estimation of the porosity measurement uncertainty from the literature.en
dc.formattextcs
dc.format.extent1-17cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationMeasurement Science and Technology. 2021, vol. 32, issue 8, p. 1-17.en
dc.identifier.doi10.1088/1361-6501/ac1b40cs
dc.identifier.issn0957-0233cs
dc.identifier.other172199cs
dc.identifier.urihttp://hdl.handle.net/11012/201651
dc.language.isoencs
dc.publisherIOP Publishingcs
dc.relation.ispartofMeasurement Science and Technologycs
dc.relation.urihttps://iopscience.iop.org/article/10.1088/1361-6501/ac1b40cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0957-0233/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectGlobal thresholdingen
dc.subjectComputed tomographyen
dc.subjectUncertainty estimationen
dc.subjectResults comparisonen
dc.subjectPorosity evaluationen
dc.subjectSegmentationen
dc.titleReview of porosity uncertainty estimation methods in computed tomography dataseten
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-172199en
sync.item.dbtypeVAVen
sync.item.insts2021.12.10 16:53:11en
sync.item.modts2021.12.10 16:14:04en
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Pokročilé instrumentace a metody pro charakterizace materiálůcs
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav fyzikálního inženýrstvícs
thesis.grantorVysoké učení technické v Brně. Ústav soudního inženýrství. Ústav soudního inženýrstvícs
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