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Super-Resolution Particle Tracking Velocimetry

Shank, J. and Gharib, M. (1995) Super-Resolution Particle Tracking Velocimetry. In: Flow Visualization VII. Begell House , New York , pp. 636-640. ISBN 9781567000368. http://resolver.caltech.edu/CaltechAUTHORS:20131010-090427424

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Abstract

Digital particle image velocimetry (DPIV) is a quantitative flow visualization technique that uses digitally recorded video images to measure the velocity field of fluid flows (Willert and Gharib, 1991). In a typical DPIV application, the flow field is seeded with small particles, a planar region of interest is illuminated with a laser sheet, and images are recorded onto videodisk. Displacement data are recovered from the captured image by locating the peak of the cross-correlation between small portions of the image. The spatial resolution of conventional DPN is thus limited to the order of the interrogation window's size, typically 32x32 pixels. In this paper, we report on the development of an image analysis technique that uses a combination of cross-correlation, pattern recognition, and particle tracking to improve the spatial resolution of DPIV to the mean distance between particles. We refer to this a super-resolution particle tracking velocimetry.


Item Type:Book Section
Additional Information:© 1995 Begell House. This work was sponsored by the Defense Advanced Research Project Agency-ACMP through the URI program under contract number DARPA/ACMP N00014-86-K-0758.
Group:GALCIT
Funders:
Funding AgencyGrant Number
DARPA/ACMPN00014-86-K-0758
Record Number:CaltechAUTHORS:20131010-090427424
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20131010-090427424
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:41857
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:10 Oct 2013 16:31
Last Modified:30 Sep 2016 17:35

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