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

William Thielicke | Zendy; Eize J. Stamhuis | Zendy

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

Author(s) -

William Thielicke,

Eize J. Stamhuis

Publication year - 2014

Publication title -

journal of open research software

Language(s) - English

Resource type - Journals

ISSN - 2049-9647

DOI - 10.5334/jors.bl

Subject(s) - particle image velocimetry , smoothing , computer science , interpolation (computer graphics) , user friendly , matlab , velocimetry , estimator , computer vision , pixel , computer graphics (images) , flow (mathematics) , image (mathematics) , artificial intelligence , mathematics , optics , physics , statistics , turbulence , thermodynamics , operating system , geometry

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

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