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

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

9 Citations (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.

Original languageEnglish
Title of host publicationAdvances in Computer Vision and Pattern Recognition
PublisherSpringer
Pages227-250
Number of pages24
ISBN (Print)978-1-4471-6741-9
DOIs
Publication statusPublished - 2015

Publication series

NameAdvances in Computer Vision and Pattern Recognition
Volume48
ISSN (Print)2191-6586
ISSN (Electronic)2191-6594

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