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dc.contributor.author
Stark, Matthew
dc.date.accessioned
2017-08-22T07:46:55Z
dc.date.available
2017-06-10T15:50:30Z
dc.date.available
2017-07-12T14:37:57Z
dc.date.available
2017-08-22T07:46:55Z
dc.date.issued
2013
dc.identifier.uri
http://hdl.handle.net/20.500.11850/65604
dc.identifier.doi
10.3929/ethz-a-009767070
dc.description.abstract
A technique to analyze Particle Image Velocimetry (PIV) images with strong refractive distortion is presented. Based on a muti-level optical flow algorithm, the approach has been benchmarked with synthetically generated PIV images, and has been successfully applied to both experimental PIV and Laser Induced Fluorescence (LIF) images. To improve velocity field estimation, new symmetric spline and advection warping methods are proposed together with a data-driven method to impose boundary conditions. To address a historical weakness of optical flow PIV methods, a framework is presented to select the smoothness parameter for experimental images. An analysis of an experimental image series with severe blurring and intensity distortions demonstrates the viability of the technique.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
ETH, Department of Mechanical and Process Engineering
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject
SPLINE INTERPOLATION (MATHEMATICAL ANALYSIS)
en_US
dc.subject
Distributed smoothing
en_US
dc.subject
Particle image velocimetry
en_US
dc.subject
Smoothing parameter
en_US
dc.subject
Symmetric advection
en_US
dc.subject
Warping
en_US
dc.subject
LASERANGEREGTE FLUORESZENZSPEKTROSKOPIE
en_US
dc.subject
Volume of fluid
en_US
dc.subject
Horn and schunck
en_US
dc.subject
GESCHWINDIGKEITSMESSUNG (FLUIDDYNAMIK)
en_US
dc.subject
MEASUREMENT OF VELOCITY AND QUANTITY RATE OF FLUID FLOW
en_US
dc.subject
Data-driven boundary condition
en_US
dc.subject
Optical flow
en_US
dc.subject
LASER EXCITED FLUORESCENCE SPECTROSCOPY
en_US
dc.subject
SPLINEINTERPOLATION (ANALYSIS)
en_US
dc.title
Optical Flow PIV
en_US
dc.type
Master Thesis
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.date.published
2013
ethz.title.subtitle
Improving the Accuracy and Applicability of Particle Image Velocimetry
en_US
ethz.size
61 p.
en_US
ethz.code.ddc
DDC - DDC::5 - Science::540 - Chemistry
en_US
ethz.identifier.nebis
009767070
ethz.publication.place
Zürich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::01159 - Lehre Maschinenbau und Verfahrenstechnik::01157 - SR Maschineningenieurwiss.::01154 - MSc Maschineningenieurwissenschaften / MSc Mechanical Engineering
en_US
ethz.date.deposited
2017-06-10T15:52:34Z
ethz.source
ECOL
ethz.source
ECIT
ethz.identifier.importid
imp5936507f2579b70781
ethz.identifier.importid
imp59366b3c561f065001
ethz.ecolpid
eth:6868
ethz.ecitpid
pub:104512
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T14:38:02Z
ethz.rosetta.lastUpdated
2021-02-14T18:27:25Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Optical%20Flow%20PIV&rft.date=2013&rft.au=Stark,%20Matthew&rft.genre=unknown&rft.btitle=Optical%20Flow%20PIV
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