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Unattenuated tracer particle extraction through time-averaged, background image subtraction with outlier rejection

Unattenuated tracer particle extraction through time-averaged, background image subtraction with...  Fluid-flow analysis using particle tracking seeks to assign velocity vectors to sequences of still images (tracks) of particles suspended in a transparent fluid or gas. This requires that high quality particle images be obtained from a system of moving particles. In practice, however, the images are contaminated by a variety of noise sources which must be removed before tracking can be performed. The traditional approach to prefiltering, which is being used in commercially-available systems, is to perform background subtraction in concert with some form of thresholding and/or image stretching. Unfortunately, these methods can attenuate particle images so badly that valid track yields are significantly reduced. In place of these methods, we present a non-attenuating background subtraction method with outlier rejection together with a non-attenuating substitute for thresholding.These algorithms have been tested on real track data and can recover virtually all images of particles in suspension with very little attenuation of particle-image intensity. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Experiments in Fluids Springer Journals

Unattenuated tracer particle extraction through time-averaged, background image subtraction with outlier rejection

Crouser, P. D.; Bethea, M. D.; Merat, F. L.
Experiments in Fluids , Volume 22 (3) – Jan 20, 1997
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References (8)

Publisher
Springer Journals
Copyright
Copyright © 1997 by Springer-Verlag Berlin Heidelberg
Subject
Engineering; Engineering Fluid Dynamics; Fluid- and Aerodynamics; Engineering Thermodynamics, Heat and Mass Transfer
ISSN
0723-4864
eISSN
1432-1114
DOI
10.1007/s003480050040
Publisher site
See Article on Publisher Site

Abstract

 Fluid-flow analysis using particle tracking seeks to assign velocity vectors to sequences of still images (tracks) of particles suspended in a transparent fluid or gas. This requires that high quality particle images be obtained from a system of moving particles. In practice, however, the images are contaminated by a variety of noise sources which must be removed before tracking can be performed. The traditional approach to prefiltering, which is being used in commercially-available systems, is to perform background subtraction in concert with some form of thresholding and/or image stretching. Unfortunately, these methods can attenuate particle images so badly that valid track yields are significantly reduced. In place of these methods, we present a non-attenuating background subtraction method with outlier rejection together with a non-attenuating substitute for thresholding.These algorithms have been tested on real track data and can recover virtually all images of particles in suspension with very little attenuation of particle-image intensity.

Journal

Experiments in Fluids – Springer Journals

Published: Jan 20, 1997

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