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Title: Image analysis for Validation of Simulations of Fluid Mix Problem

Abstract

As computer simulations gain acceptance for the modeling of complex physical phenomena, there is an increasing need to validate these simulation codes by comparing them to experiments. Currently, this is done qualitatively, using a visual approach. This is obviously very subjective and more quantitative metrics are needed, especially to identify simulations which are closer to experiments than other simulations. In this paper, we show how image processing techniques can be effectively used in such comparisons. Using an example from the problem of mixing of two fluids, we show that we can quantitatively compare experimental and simulation images by extracting higher level features to characterize the objects in the images.

Authors:
;
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
919596
Report Number(s):
UCRL-CONF-227190
TRN: US200822%%435
DOE Contract Number:
W-7405-ENG-48
Resource Type:
Conference
Resource Relation:
Conference: Presented at: IEEE International Conference on Image Processing, San Antonio, TX, United States, Sep 16 - Sep 19, 2007
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUMM MECHANICS, GENERAL PHYSICS; COMPUTERIZED SIMULATION; IMAGE PROCESSING; METRICS; SIMULATION; VALIDATION; FLUIDS; MIXING

Citation Formats

Kamath, C, and Miller, P. Image analysis for Validation of Simulations of Fluid Mix Problem. United States: N. p., 2007. Web.
Kamath, C, & Miller, P. Image analysis for Validation of Simulations of Fluid Mix Problem. United States.
Kamath, C, and Miller, P. Wed . "Image analysis for Validation of Simulations of Fluid Mix Problem". United States. doi:. https://www.osti.gov/servlets/purl/919596.
@article{osti_919596,
title = {Image analysis for Validation of Simulations of Fluid Mix Problem},
author = {Kamath, C and Miller, P},
abstractNote = {As computer simulations gain acceptance for the modeling of complex physical phenomena, there is an increasing need to validate these simulation codes by comparing them to experiments. Currently, this is done qualitatively, using a visual approach. This is obviously very subjective and more quantitative metrics are needed, especially to identify simulations which are closer to experiments than other simulations. In this paper, we show how image processing techniques can be effectively used in such comparisons. Using an example from the problem of mixing of two fluids, we show that we can quantitatively compare experimental and simulation images by extracting higher level features to characterize the objects in the images.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 10 00:00:00 EST 2007},
month = {Wed Jan 10 00:00:00 EST 2007}
}

Conference:
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