Detail publikace

Review of porosity uncertainty estimation methods in computed tomography dataset

JAQUES, V. DU PLESSIS, A. ZEMEK, M. ŠALPLACHTA, J. ŠTUBIANOVÁ, Z. ZIKMUND, T. KAISER, J.

Originální název

Review of porosity uncertainty estimation methods in computed tomography dataset

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

X-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.

Klíčová slova

Global thresholding; Computed tomography; Uncertainty estimation; Results comparison; Porosity evaluation; Segmentation

Autoři

JAQUES, V.; DU PLESSIS, A.; ZEMEK, M.; ŠALPLACHTA, J.; ŠTUBIANOVÁ, Z.; ZIKMUND, T.; KAISER, J.

Vydáno

23. 8. 2021

Nakladatel

IOP Publishing

ISSN

0957-0233

Periodikum

Measurement Science and Technology

Ročník

32

Číslo

8

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

17

Strany počet

17

URL

https://iopscience.iop.org/article/10.1088/1361-6501/ac1b40

Plný text v Digitální knihovně

http://hdl.handle.net/11012/201651

BibTex

@article{BUT172199,
  author="Victory {Jaques} and Anton {Du Plessis} and Marek {Zemek} and Jakub {Šalplachta} and Zuzana {Stravová} and Tomáš {Zikmund} and Jozef {Kaiser}",
  title="Review of porosity uncertainty estimation methods in computed tomography dataset",
  journal="Measurement Science and Technology",
  year="2021",
  volume="32",
  number="8",
  pages="1--17",
  doi="10.1088/1361-6501/ac1b40",
  issn="0957-0233",
  url="https://iopscience.iop.org/article/10.1088/1361-6501/ac1b40"
}