Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Konferenzband

Full-field correlation-based image processing for PIV

MPG-Autoren
/persons/resource/persons173603

Nobach,  Holger
Laboratory for Fluid Dynamics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

/persons/resource/persons173609

Ouellette,  Nicholas T.
Laboratory for Fluid Dynamics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

/persons/resource/persons173472

Bodenschatz,  Eberhard       
Laboratory for Fluid Dynamics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PuRe verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Nobach, H., Ouellette, N. T., Bodenschatz, E., & Tropea, C. (2005). Full-field correlation-based image processing for PIV. California Institute of Technology, Pasadena (CA), USA: M. Gharib.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0029-1559-0
Zusammenfassung
Due to its high robustness, correlation-based particle image velocimetry (PIV) has become the prime choice for processing image-based flow measurements in fluid dynamics experiments. However, in recent years, whole-field techniques like optical flow methods have been successfully applied to this kind of images. To avoid the dependence of optical flow methods on intensity variations and to combine the robustness of the correlation-based PIV technique with the whole-field flow description of the optical flow method, a hybrid estimation procedure has been developed. It is an iterative method, optimizing a dense, hypothetical velocity field with respect to vanishing residual displacements, obtained by image correlation.