X-Ray Computed Tomography is an emerging technology for geometric inspection, in particular when complex and internal surfaces are involved. The typical work-flow for an X-Ray Computed Tomography inspection includes scanning the part, reconstructing the volume, segmenting it by creating a surface, comparing the generated surface to the nominal geometry, and stating the inspection result (e.g. conformance to some specification). In particular, the segmentation step has been demonstrated critical, greatly influencing the measurement result (both randomly and systematically), and then vastly affecting the uncertainty. In this work, we propose experimental evidence on how the choice of the segmentation method affects the measurement result.

An experimental study on segmentation in X-Ray Computed Tomography

G. Moroni;S. Petrò
2019-01-01

Abstract

X-Ray Computed Tomography is an emerging technology for geometric inspection, in particular when complex and internal surfaces are involved. The typical work-flow for an X-Ray Computed Tomography inspection includes scanning the part, reconstructing the volume, segmenting it by creating a surface, comparing the generated surface to the nominal geometry, and stating the inspection result (e.g. conformance to some specification). In particular, the segmentation step has been demonstrated critical, greatly influencing the measurement result (both randomly and systematically), and then vastly affecting the uncertainty. In this work, we propose experimental evidence on how the choice of the segmentation method affects the measurement result.
Proceedings of the 9th Conference on Industrial Computed Tomography (iCT) 2019
X-Ray computed Tomography, Uncertainty, Segmentation
File in questo prodotto:
File Dimensione Formato  
An experimental study on segmentation in X-Ray Computed Tomography.pdf

accesso aperto

: Publisher’s version
Dimensione 496.12 kB
Formato Adobe PDF
496.12 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1074828
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact