An experimental study on segmentation in X-Ray Computed Tomography

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.