Christoph Heinzl, Aleksandr Amirkhanov, Johannes Kastner
Processing, Analysis and Visualization of CT Data in Industrial X-Ray Computed Tomography
In Processing, Analysis and Visualization of CT Data, pages 99-142, 2018

Information

  • Publication Type: Article in a Book
  • Workgroup(s)/Project(s): not specified
  • Date: 2018
  • Booktitle: Processing, Analysis and Visualization of CT Data
  • Publisher: Springer
  • Pages: 99 – 142

Abstract

In an almost inexhaustible multitude of possibilities, CT allows to inspect highly complex systems and materials. Compared to other testing techniques CT provides results in a quick way: It is nondestructive and does not interfere with the specimen, it allows non-touching characterizations and what is most important CT allows to characterize hidden or internal features. However, CT would not have reached its current status in engineering without the achievements and possibilities in data processing. Only through processing, analysis and visualization of CT data, detailed insights into previously unachievable analyses are facilitated. Novel means of data analysis and visualization illustrate highly complex problems by means of clear and easy to understand renderings. In this chapter, we explore various aspects starting from the generalized data analysis pipeline, aspects of processing, analysis and visualization for metrology, nondestructive testing as well as specialized analyses.

Additional Files and Images

No additional files or images.

Weblinks

No further information available.

BibTeX

@incollection{heinzl-2018-ct-book,
  title =      "Processing, Analysis and Visualization of CT Data in
               Industrial X-Ray Computed Tomography",
  author =     "Christoph Heinzl and Aleksandr Amirkhanov and Johannes
               Kastner",
  year =       "2018",
  abstract =   "In an almost inexhaustible multitude of possibilities, CT
               allows to inspect highly complex systems and materials.
               Compared to other testing techniques CT provides results in
               a quick way: It is nondestructive and does not interfere
               with the specimen, it allows non-touching characterizations
               and what is most important CT allows to characterize hidden
               or internal features. However, CT would not have reached its
               current status in engineering without the achievements and
               possibilities in data processing. Only through processing,
               analysis and visualization of CT data, detailed insights
               into previously unachievable analyses are facilitated. Novel
               means of data analysis and visualization illustrate highly
               complex problems by means of clear and easy to understand
               renderings. In this chapter, we explore various aspects
               starting from the generalized data analysis pipeline,
               aspects of processing, analysis and visualization for
               metrology, nondestructive testing as well as specialized
               analyses.",
  booktitle =  "Processing, Analysis and Visualization of CT Data",
  publisher =  "Springer",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2018/heinzl-2018-ct-book/",
}