Image analysis for Validation of Simulations of Fluid Mix Problem

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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 ... continued below

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Kamath, C & Miller, P January 10, 2007.

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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.

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PDF-file: 6 pages; size: 0.9 Mbytes

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  • Presented at: IEEE International Conference on Image Processing, San Antonio, TX, United States, Sep 16 - Sep 19, 2007

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  • Report No.: UCRL-CONF-227190
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 919596
  • Archival Resource Key: ark:/67531/metadc895964

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Office of Scientific & Technical Information Technical Reports

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  • January 10, 2007

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  • Sept. 27, 2016, 1:39 a.m.

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  • Nov. 29, 2016, 2:13 p.m.

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Kamath, C & Miller, P. Image analysis for Validation of Simulations of Fluid Mix Problem, article, January 10, 2007; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc895964/: accessed December 16, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.