Journal of Sensors and Sensor Systems
Journal of Sensors and Sensor Systems
JSSS
Articles | Volume 7, issue 2
Articles | Volume 7, issue 2
https://doi.org/10.5194/jsss-7-551-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/jsss-7-551-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 2
Regular research article
 | 
12 Oct 2018
Regular research article |  | 12 Oct 2018

Data fusion of surface data sets of X-ray computed tomography measurements using locally determined surface quality values

Andreas Michael Müller and Tino Hausotte

Viewed

Total article views: 4,048 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,342 522 184 4,048 98 102
  • HTML: 3,342
  • PDF: 522
  • XML: 184
  • Total: 4,048
  • BibTeX: 98
  • EndNote: 102
Views and downloads (calculated since 12 Oct 2018)
Cumulative views and downloads (calculated since 12 Oct 2018)

Viewed (geographical distribution)

Total article views: 3,270 (including HTML, PDF, and XML) Thereof 3,152 with geography defined and 118 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
Computed tomography measurements can be subject to specific image artefacts, which can be dependent on the effective rotation axis of the work piece during the scan. The presented approach is to combine several CT scans with different rotation axes of the work piece using a data fusion approach. To improve the fidelity of the result, surface points are weighted individually within the algorithm, dependent on the local surface quality of the measurement.
Read more