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X-ray Computed Tomography for Non-destructive Testing and Materials Characterization

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Integrated Imaging and Vision Techniques for Industrial Inspection

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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.

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Acknowledgments

The project was supported by COMET programme of FFG and by the federal governments of Upper Austria and Styria. The author acknowledges the provision of samples by the companies AMAG AG, FACC AG, Georg Fischer Eisenguss GmbH and TCKT GmbH.

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Authors and Affiliations

  1. University of Applied Sciences—Upper Austria, Stelzhamerstrasse 23, 4600, Wels, Austria

    Johann Kastner & Christoph Heinzl

Authors
  1. Johann Kastner
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  2. Christoph Heinzl
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Corresponding author

Correspondence to Johann Kastner .

Editor information

Editors and Affiliations

  1. University of British Columbia, Kelowna, BC, Canada

    Zheng Liu

  2. University of Tokushima, Tokushima, Japan

    Hiroyuki Ukida

  3. Pacific Northwest National Laboratory, Richland, WA, USA

    Pradeep Ramuhalli

  4. University of Applied Sciences Upper Austria, Wels, Austria

    Kurt Niel

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Kastner, J., Heinzl, C. (2015). X-ray Computed Tomography for Non-destructive Testing and Materials Characterization. In: Liu, Z., Ukida, H., Ramuhalli, P., Niel, K. (eds) Integrated Imaging and Vision Techniques for Industrial Inspection. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-6741-9_8

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  • DOI: https://doi.org/10.1007/978-1-4471-6741-9_8

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-6740-2

  • Online ISBN: 978-1-4471-6741-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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