Title :
Case study: application of feature tracking to analysis of autoignition simulation data
Author :
Koegler, Wendy S.
Author_Institution :
Sandia Nat. Labs., Livermore, CA, USA
Abstract :
The focus of this paper is to evaluate the usefulness of some basic feature tracking algorithms as analysis tools for combustion datasets by application to a dataset modeling autoignition. Features defined as areas of high intermediate concentrations were examined to explore the initial phases in the autoignition process.
Keywords :
combustion; data visualisation; digital simulation; feature extraction; ignition; physics computing; autoignition; combustion; feature detection; feature tracking; simulation data; turbulent flows; Analytical models; Computational modeling; Computer aided software engineering; Computer vision; Data analysis; Fires; Focusing; Fuels; Hydrogen; Ignition;
Conference_Titel :
Visualization, 2001. VIS '01. Proceedings
Conference_Location :
San Diego, CA, USA
Print_ISBN :
0-7803-7201-8
DOI :
10.1109/VISUAL.2001.964551
