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Proceedings Paper

Statistical investigation of errors in particle image velocimetry
Author(s): Yann G. Guezennec; Nikolaos Kiritsis
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Paper Abstract

The accuracy of the Particle Image Velocimetry technique was investigated using synthetic images having known characteristics. Algorithms were developed to process images automatically without operator assistance. This allowed to parametrically investigate the influence of the various parameters (image contrast, image noise, particle density, distribution of sizes of particles and particle displacement between frames) on the accuracy of the technique. It was found that as long as the images have a good contrast, particle locations can be determined with sub-pixel accuracy and particle velocities can be determined within a few percent.

Paper Details

Date Published: 1 November 1990
PDF: 11 pages
Proc. SPIE 1404, ICALEO '89: Optical Methods in Flow and Particle Diagnostics, (1 November 1990); doi: 10.1117/12.35017
Show Author Affiliations
Yann G. Guezennec, Ohio State Univ. (United States)
Nikolaos Kiritsis, Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 1404:
ICALEO '89: Optical Methods in Flow and Particle Diagnostics
Marshall B. Long, Editor(s)

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