Information
- Publication Type: Conference Paper
- Workgroup(s)/Project(s):
- Date: February 2019
- Location: Padova, Italy
- Lecturer: Harald Steinlechner
- Event: International Conference on Industrial Computed Tomography (ICT) 2019
- Editor: Simone Carmignato
- Call for Papers: Call for Paper
- Booktitle: International Conference on Industrial Computed Tomography (ICT) 2019
- Conference date: 13. February 2019 – 15. February 2019
- Pages: 1 – 6
- Keywords: CT, GPU, Inclusion Detection, Interactive Visualisation, VisualAnalysis, Parallel Coordinates, Volume Rendering
Abstract
CT data of industrially produced cast metal parts are often afflicted with artefacts due to complex geometries ill-suited for the scanning process. Simple global threshold-based porosity detection algorithms usually fail to deliver meaningful results. Other adaptive methods can handle image artefacts, but require long preprocessing times. This makes an efficient analysis workflow infeasible. We propose an alternative approach for analyzing and visualizing volume defects in a fully interactive manner, where analyzing volumes becomes more of an interactive exploration instead of time-consuming parameter guessing interrupted by long processing times. Our system is based on a highly efficient GPU implementation of a segmentation algorithm for porosity detection. The runtime is on the order of seconds for a full volume and parametrization is kept simple due to a single threshold parameter. A fully interactive user interface comprised of multiple linked views allows to quickly identify defects of interest, while filtering out artefacts even in noisy areas.Additional Files and Images
Weblinks
BibTeX
@inproceedings{STEINLECHNER-2019-ICT, title = "A Novel Approach for Immediate, Interactive CT Data Visualization andEvaluation using GPU-based Segmentation and Visual Analysis", author = "Harald Steinlechner and Georg Haaser and Bernd Oberdorfer and Daniel Habe and Stefan Maierhofer and Michael Schw\"{a}rzler and Eduard Gr\"{o}ller", year = "2019", abstract = "CT data of industrially produced cast metal parts are often afflicted with artefacts due to complex geometries ill-suited for the scanning process. Simple global threshold-based porosity detection algorithms usually fail to deliver meaningful results. Other adaptive methods can handle image artefacts, but require long preprocessing times. This makes an efficient analysis workflow infeasible. We propose an alternative approach for analyzing and visualizing volume defects in a fully interactive manner, where analyzing volumes becomes more of an interactive exploration instead of time-consuming parameter guessing interrupted by long processing times. Our system is based on a highly efficient GPU implementation of a segmentation algorithm for porosity detection. The runtime is on the order of seconds for a full volume and parametrization is kept simple due to a single threshold parameter. A fully interactive user interface comprised of multiple linked views allows to quickly identify defects of interest, while filtering out artefacts even in noisy areas.", month = feb, location = "Padova, Italy", event = "International Conference on Industrial Computed Tomography (ICT) 2019", editor = "Simone Carmignato", booktitle = "International Conference on Industrial Computed Tomography (ICT) 2019", pages = "1--6", keywords = "CT, GPU, Inclusion Detection, Interactive Visualisation, VisualAnalysis, Parallel Coordinates, Volume Rendering", URL = "https://www.cg.tuwien.ac.at/research/publications/2019/STEINLECHNER-2019-ICT/", }