articleJournal of Open Research SoftwareOct 16, 2014GOLD OA

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

University of Groningen · Hochschule Bremen

Indexed incrossrefdoaj

Abstract

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.

Citation impact

2,389
total citations
FWCI
87.23
Percentile
100%
References
63
Citations per year

Authors

2

Topics & keywords

Keywords
  • Particle image velocimetry
  • Smoothing
  • Computer science
  • Interpolation (computer graphics)
  • User Friendly
  • MATLAB
  • Velocimetry
  • Estimator
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