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Proceedings Paper

New solutions and applications of 3D computer tomography image processing
Author(s): Ira Effenberger; Julia Kroll; Alexander Verl
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Paper Abstract

As nowadays the industry aims at fast and high quality product development and manufacturing processes a modern and efficient quality inspection is essential. Compared to conventional measurement technologies, industrial computer tomography (CT) is a non-destructive technology for 3D-image data acquisition which helps to overcome their disadvantages by offering the possibility to scan complex parts with all outer and inner geometric features. In this paper new and optimized methods for 3D image processing, including innovative ways of surface reconstruction and automatic geometric feature detection of complex components, are presented, especially our work of developing smart online data processing and data handling methods, with an integrated intelligent online mesh reduction. Hereby the processing of huge and high resolution data sets is guaranteed. Besides, new approaches for surface reconstruction and segmentation based on statistical methods are demonstrated. On the extracted 3D point cloud or surface triangulation automated and precise algorithms for geometric inspection are deployed. All algorithms are applied to different real data sets generated by computer tomography in order to demonstrate the capabilities of the new tools. Since CT is an emerging technology for non-destructive testing and inspection more and more industrial application fields will use and profit from this new technology.

Paper Details

Date Published: 26 February 2008
PDF: 9 pages
Proc. SPIE 6813, Image Processing: Machine Vision Applications, 68130A (26 February 2008); doi: 10.1117/12.766498
Show Author Affiliations
Ira Effenberger, Fraunhofer Institut für Produktionstechnik und Automatisierung (Germany)
Julia Kroll, Fraunhofer Institut für Produktionstechnik und Automatisierung (Germany)
Alexander Verl, Fraunhofer Institut für Produktionstechnik und Automatisierung (Germany)


Published in SPIE Proceedings Vol. 6813:
Image Processing: Machine Vision Applications
Kurt S. Niel; David Fofi, Editor(s)

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