X-ray computed tomography for non-destructive testing and materials characterization

Johann Kastner, Christoph Heinzl

Publikation: Beitrag in Buch/Bericht/TagungsbandKapitelBegutachtung

15 Zitate (Scopus)

Abstract

X-ray computed tomography (XCT) with flat-panel matrix detectors is a promising non-destructive method to scan and characterize external and internal structures of a specimen. Using XCT, both size and topology of different types of heterogeneities may vary largely. The different size scales of the heterogeneities and of the affected material volume require appropriate tomographic methods, scanning geometries and resolutions. In order to quantify features of interest from XCT scans, a major challenge is still found in the analysis and visualization of the generated XCT data: Advanced 3D-image processing techniques are needed for robust extraction and characterization of each single feature of interest. Interactive visualization techniques are needed for further exploration and analysis of these increasingly complex data spaces in order to provide novel insights for domain specialists. As examples of how image processing and visualization complement XCT various application cases are presented.

OriginalspracheEnglisch
TitelIntegrated Imaging and Vision Techniques for Industrial Inspection
UntertitelAdvances and Applications
Herausgeber (Verlag)Springer
Seiten227-250
Seitenumfang24
ISBN (elektronisch)9781447167419
ISBN (Print)9781447167402
DOIs
PublikationsstatusVeröffentlicht - 2015

Publikationsreihe

NameAdvances in Computer Vision and Pattern Recognition
Band48
ISSN (Print)2191-6586
ISSN (elektronisch)2191-6594

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