Statistical investigation of errors in particle image velocimetry

Yann G. Guezennec; Nikolaos Kiritsis

doi:10.1117/12.35017

1 November 1990 Statistical investigation of errors in particle image velocimetry

Yann G. Guezennec, Nikolaos Kiritsis

Proceedings Volume 1404, ICALEO '89: Optical Methods in Flow and Particle Diagnostics; (1990) https://doi.org/10.1117/12.35017
Event: ICALEO89, 1989, Orlando, FL, United States

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.

Citation Download Citation

Yann G. Guezennec and Nikolaos Kiritsis "Statistical investigation of errors in particle image velocimetry", Proc. SPIE 1404, ICALEO '89: Optical Methods in Flow and Particle Diagnostics, (1 November 1990); https://doi.org/10.1117/12.35017

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