Advanced image analysis for particle image velocimetry. Part I: Processing individual PIV recordings
Willert, Chris (2009) Advanced image analysis for particle image velocimetry. Part I: Processing individual PIV recordings. In: Lecture Series Monographs "Recent advances in particle image velocimetry", LS 2009-01. von Karman Institute for Fluid Mechanics. ISBN 978-2-930389-89-3.
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The article provides an overview of existing (digital) image evaluation methods for particle image velocimetry (PIV), which were developed in the past 20 years, and demonstrates their respective performance using actual PIV image recordings. The algorithms share the common goal of faithfully extracting the displacement field encoded by the motion of imaged particles from one image recording to the next using various implementations of mainly correlation-based pattern matching. Modern algorithms make use of multi-resolution coarse-to-fine processing strategies augmented with iterative, full image distortion in a predictor-corrector sense to increase both the spatial resolution and velocity dynamic range obtainable with PIV. The article reviews various processing schemes, required image interpolation methods as well as correlation signal enhancing image spatial or spectral filtering.
|Document Type:||Book Section|
|Title:||Advanced image analysis for particle image velocimetry. Part I: Processing individual PIV recordings|
|In ISI Web of Science:||No|
|Publisher:||von Karman Institute for Fluid Mechanics|
|Series Name:||Lecture Series Monographs "Recent advances in particle image velocimetry"|
|Keywords:||particle image velocimetry, flow diagnostics, PIV, imaging methods, multigrid analysis, displacement estimation, cross-correlation, correlation-based pattern matching, phase-only filtering, multi-resolution pyramids, image interpolation, sub-pixel estimation|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Aeronautics|
|HGF - Program Themes:||L ER - Engine Research|
|DLR - Research area:||Aeronautics|
|DLR - Program:||L ER - Engine Research|
|DLR - Research theme (Project):||L - Virtual Engine and Validation Methods|
|Institutes and Institutions:||Institute of Propulsion Technology|
Institute of Propulsion Technology > Engine Measurement Systems
|Deposited By:||Dr.phil. Christian Willert|
|Deposited On:||19 Oct 2009 08:56|
|Last Modified:||19 Oct 2009 08:56|
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