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Lecture Notes in Mechanical Engineering2022, Pages 202-209International Symposium for Production Research, ISPR2021; Virtual, Online; ; 7 October 2021 through 9 October 2021; Code 268569

Investigation of Influence by Different Segmentation Parameters on Surface Accuracy in Industrial X-ray Computed Tomography(Conference Paper)

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  • aFaculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
  • bFaculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Zagreb, Croatia
  • cTU Wien (Vienna University of Technology), Vienna, Austria

Abstract

In today’s rapid industry development, there is a need for more accurate technologies that can cope with the rising demand of manufacturing accuracy. X-ray computed tomography presents such a method that can reconstruct internal structures of an object without its destruction. This gives X-ray computed tomography great advantage over other tactile and optical measuring devices. This paper presents a study in which different segmentation parameters are used to reconstruct surface 3D models of an object and investigate the influence on surface accuracy caused by different segmentation parameters. Results of this investigation shows that the variation of segmentation parameters corresponds to change in dimensional deviations regarding measurands used in both 2D and 3D analysis. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Author keywords

Computed tomographyImage processingIndustrial CT imagesSegmentationX-ray CT

Indexed keywords

Engineering controlled terms:Computerized tomographyImage reconstructionOptical data processingThree dimensional computer graphics
Engineering uncontrolled termsComputed tomographyCT ImageImages processingIndustrial CTIndustrial CT imageIndustry developmentSegmentationSurface accuracyX-ray computed tomographyX-ray CT
Engineering main heading:Image segmentation

Funding details

Funding sponsor Funding number Acronym
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja451–03-68/2020–14/200156MPNTR
European Regional Development FundRC.2.2.08–0042ERDF
  • 1

    Acknowledgment. This research has been supported by the Ministry of Education, Science and Technological Development through the project no. 451–03-68/2020–14/200156: “Innovative scientific and artistic research from the Faculty of Technical Sciences (activity) domain”. Project IKARUS also supported parts of presented research (European Regional Development Fund, MIS: RC.2.2.08–0042, Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb).

  • ISSN: 21954356
  • ISBN: 978-303090420-3
  • Source Type: Book Series
  • Original language: English
  • DOI: 10.1007/978-3-030-90421-0_17
  • Document Type: Conference Paper
  • Volume Editors: Durakbasa N.M.,Gencyilmaz M.G.
  • Publisher: Springer Science and Business Media Deutschland GmbH

  Sokac, M.; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia;
© Copyright 2022 Elsevier B.V., All rights reserved.

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