When, what and how image transformation techniques should be used to reduce error in Particle Image Velocimetry data?

Higham, JE ORCID: 0000-0001-7577-0913 and Brevis, W (2019) When, what and how image transformation techniques should be used to reduce error in Particle Image Velocimetry data? Flow Measurement and Instrumentation, 66. pp. 79-85.

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Official URL: http://dx.doi.org/10.1016/j.flowmeasinst.2019.02.0...

Abstract

© 2019 Elsevier Ltd Particle Image Velocimetry is commonly used to compute velocity fields in several areas including fluid mechanics, hydraulics and geophysics. However, acquired images often contain deformations caused either by camera lenses or placement. In this work the most popular digital transformation methods used to remove/reduce these deformations are benchmarked and suggestions tailoring specific transformations to different types of deformations are made. This article also shows the reduction of the error associated to the first and second order statistics, in the case of two-dimensional Particle Image Velocimetry, when the transformation techniques are applied to the computed velocity fields, and not the raw images, a common option in available commercial software.

Item Type:	Article
Uncontrolled Keywords:	Generic health relevance
Depositing User:	Symplectic Admin
Date Deposited:	24 Jul 2020 07:43
Last Modified:	15 Mar 2024 14:56
DOI:	10.1016/j.flowmeasinst.2019.02.005
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3095037