An automated surface determination approach for computed tomography

Simple item page
dc.contributor.authorYang, Xiuyuan
dc.contributor.authorSun, Wenjuan
dc.contributor.authorGiusca, Claudiu
dc.date.accessioned2022-06-27T11:12:59Z
dc.date.available2022-06-27T11:12:59Z
dc.date.issued2022-06-23
dc.description.abstractSurface determination is a critical image processing step in X-ray Computed Tomography that uses algorithms based on local thresholding methods, such as Canny and Steinbess, to detect the surface of metallic components with intricate designs and complex topographies. In most of the cases, these algorithms require trial-and-error tests to optimise the threshold operation, leading to unreliable and, at times, erroneous inspection results. This paper demonstrates the ability of marker-controlled watershed algorithm to automate the surface determination process and to maintain its robustness in the presence of beam hardening and complex topographies, outperforming the current commercial and non-commercial software implementations.en_UK
dc.identifier.citationYang X, Sun W, Giusca C. (2022) An automated surface determination approach for computed tomography. NDT & E International, Volume 131, October 2022, Article number 102697en_UK
dc.identifier.issn0963-8695
dc.identifier.urihttps://doi.org/10.1016/j.ndteint.2022.102697
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18088
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectX-ray computed tomographyen_UK
dc.subjectSurface determinationen_UK
dc.subjectWatersheden_UK
dc.subjectNon-destructive dimensional inspectionen_UK
dc.titleAn automated surface determination approach for computed tomographyen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
automated_surface_determination_approach_computed_tomography-2022.pdf
Size:
21.58 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)