Comparison of Gaussian particle center estimators and the achievable measurement density for particle tracking velocimetry
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
A series of numerical simulations were conducted to investigate the performance of two particle center estimation algorithms for Particle Tracking Velocimetry: a simple three-point Gaussian estimator and a least-square Gaussian. The smallest position error for images with reasonable noise levels was found to be approximately 0.03 pixels for both estimators using particles with diameters of 4 pixels. As both estimators performed equally well, use of the simple three-point Gaussian algorithm is recommended because it executes 100 times faster than the least-square algorithm. The maximum achievable measurement density and accuracy for the three-point Gaussian estimator were determined with a numerical simulation of an Oseen vortex. Uncertainty measures have been introduced to filter out unreliable displacement measurements, It was found that 4 to 5 velocity vectors could be obtained within a 32 × 32 pixel area with an average displacement error of 0.1 pixels. This doubles the spatial resolution of conventional cross-correlation based Particle Image Velocimetry at comparable accuracy.
Details
Originalsprache | Englisch |
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Seiten (von - bis) | 145-153 |
Seitenumfang | 9 |
Fachzeitschrift | Experiments in fluids |
Jahrgang | 29 |
Ausgabenummer | 2 |
Publikationsstatus | Veröffentlicht - 2000 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Externe IDs
ORCID | /0000-0001-8870-0041/work/142251365 |
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