open_iA: A Framework for Analyzing Industrial Computed Tomography Data

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

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 proceedings › Conference 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 language	English
Title of host publication	Proceedings of the 12th European Conference on Non-destructive Testing
Publication status	Published - 2018
Event	12th European Conference on Non-destructive Testing - Göteborg, Sweden Duration: 11 Jun 2018 → 15 Jun 2018 http://www.ecndt2018.com

Conference

Conference	12th European Conference on Non-destructive Testing
Country/Territory	Sweden
City	Göteborg
Period	11.06.2018 → 15.06.2018
Internet address	http://www.ecndt2018.com

Keywords

industrial computed tomography
visual analysis
Visualization
Visual Computing
Visual Analysis

Cite this

@inproceedings{2e9a95c80f6d440297ca82341c678377,

title = "open_iA: A Framework for Analyzing Industrial Computed Tomography Data",

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.",

keywords = "industrial computed tomography, visual analysis, industrial computed tomography, visual analysis, Visualization, Visual Computing, Visual Analysis",

author = "Bernhard Fr{\"o}hler and Christoph Heinzl and Johannes Weissenb{\"o}ck and Aleksandr Amirkhanov and Mustafa Arikan and Johann Kastner",

year = "2018",

language = "English",

booktitle = "Proceedings of the 12th European Conference on Non-destructive Testing",

note = "12th European Conference on Non-destructive Testing ; Conference date: 11-06-2018 Through 15-06-2018",

url = "http://www.ecndt2018.com",

}

TY - GEN

T1 - open_iA: A Framework for Analyzing Industrial Computed Tomography Data

AU - Fröhler, Bernhard

AU - Heinzl, Christoph

AU - Weissenböck, Johannes

AU - Amirkhanov, Aleksandr

AU - Arikan, Mustafa

AU - Kastner, Johann

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - industrial computed tomography

KW - visual analysis

KW - industrial computed tomography

KW - visual analysis

KW - Visualization

KW - Visual Computing

KW - Visual Analysis

UR - http://cdn.ecndt2018.com/wp-content/uploads/2018/05/ecndt-0194-2018-File001.pdf

M3 - Conference contribution

BT - Proceedings of the 12th European Conference on Non-destructive Testing

T2 - 12th European Conference on Non-destructive Testing

Y2 - 11 June 2018 through 15 June 2018

ER -

open_iA: A Framework for Analyzing Industrial Computed Tomography Data

Abstract

Conference

Keywords

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