PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB

PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB

Digital particle image velocimetry (DPIV) is a non-intrusive analysis technique that is very popular for mapping flows quantitatively. To get accurate results, in particular in complex flow fields, a number of challenges have to be faced and solved: The quality of the flow measurements is affected b...

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Main Authors: William Thielicke, Eize J. Stamhuis
Format: Article
Language:English
Published: Ubiquity Press 2014-10-01
Series:Journal of Open Research Software
Online Access:http://openresearchsoftware.metajnl.com/articles/42
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spelling doaj-c369bb9ae2f348d58a26d966a961ebe92020-11-24T22:57:13ZengUbiquity PressJournal of Open Research Software2049-96472014-10-0121e30e3010.5334/jors.bl44PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLABWilliam Thielicke0Eize J. Stamhuis1Department of Ocean Ecosystems, University of Groningen, The Netherlands; Department of Biomimetics, Bremen University of Applied Sciences, Germany; Biomimetics-Innovation-Centre, Bremen University of Applied Sciences, GermanyDepartment of Ocean Ecosystems, University of Groningen, The Netherlands; Department of Biomimetics, Bremen University of Applied Sciences, GermanyDigital particle image velocimetry (DPIV) is a non-intrusive analysis technique that is very popular for mapping flows quantitatively. To get accurate results, in particular in complex flow fields, a number of challenges have to be faced and solved: The quality of the flow measurements is affected by computational details such as image pre-conditioning, sub-pixel peak estimators, data validation procedures, interpolation algorithms and smoothing methods. The accuracy of several algorithms was determined and the best performing methods were implemented in a user-friendly open-source tool for performing DPIV flow analysis in Matlab.http://openresearchsoftware.metajnl.com/articles/42
collection DOAJ
language English
format Article
sources DOAJ
author William Thielicke
Eize J. Stamhuis
spellingShingle William Thielicke
Eize J. Stamhuis
PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB
Journal of Open Research Software
author_facet William Thielicke
Eize J. Stamhuis
author_sort William Thielicke
title PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB
title_short PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB
title_full PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB
title_fullStr PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB
title_full_unstemmed PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB
title_sort pivlab – towards user-friendly, affordable and accurate digital particle image velocimetry in matlab
publisher Ubiquity Press
series Journal of Open Research Software
issn 2049-9647
publishDate 2014-10-01
description Digital particle image velocimetry (DPIV) is a non-intrusive analysis technique that is very popular for mapping flows quantitatively. To get accurate results, in particular in complex flow fields, a number of challenges have to be faced and solved: The quality of the flow measurements is affected by computational details such as image pre-conditioning, sub-pixel peak estimators, data validation procedures, interpolation algorithms and smoothing methods. The accuracy of several algorithms was determined and the best performing methods were implemented in a user-friendly open-source tool for performing DPIV flow analysis in Matlab.
url http://openresearchsoftware.metajnl.com/articles/42
work_keys_str_mv AT williamthielicke pivlabtowardsuserfriendlyaffordableandaccuratedigitalparticleimagevelocimetryinmatlab
AT eizejstamhuis pivlabtowardsuserfriendlyaffordableandaccuratedigitalparticleimagevelocimetryinmatlab
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