Publication detail

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.

Original Title

Review of porosity uncertainty estimation methods in computed tomography dataset

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

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

Authors

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

Released

23. 8. 2021

Publisher

IOP Publishing

ISBN

0957-0233

Periodical

Measurement Science and Technology

Year of study

32

Number

8

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

17

Pages count

17

URL

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

Full text in the Digital Library

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"
}