open_iA: A Framework for Analyzing Industrial Computed Tomography Data

Bernhard Fröhler, Christoph Heinzl, Johannes Weissenböck, Aleksandr Amirkhanov, Mustafa Arikan, Johann Kastner

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

Abstract

The open source software open_iA is presented, which facilitates non-destructive testing tasks such as feature extraction, quantification and visualization involving industrial computed tomography datasets. open_iA provides a general framework for visualizing and processing volumetric datasets, including a 3D view, axis-aligned slicers, as well as a wide variety of image processing algorithms for pre-processing of the data for the subsequent analysis. Pluggable modules provide tailored analysis tools for specific scenarios. In this work the structure of the tool open_iA itself and a selection of its modules are outlined.
Original languageEnglish
Title of host publicationProceedings of the 12th European Conference on Non-destructive Testing
Publication statusPublished - 2018
Event12th European Conference on Non-destructive Testing - Göteborg, Sweden
Duration: 11 Jun 201815 Jun 2018
http://www.ecndt2018.com

Conference

Conference12th European Conference on Non-destructive Testing
CountrySweden
CityGöteborg
Period11.06.201815.06.2018
Internet address

Keywords

  • industrial computed tomography
  • visual analysis
  • Visualization
  • Visual Computing
  • Visual Analysis

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