A Fast Data Reduction Algorithm for Multi-Frame Particle-Image Velocimetry

Abstract

An efficient tracking algorithm for the reduction and analysis of particle image velocimetry data is described. Using Fast Fourier Transforms, it is shown that one hundred identical particles performing random motions superimposed on Poiseuille flow and recorded on two successive frames may be tracked in about one minute of time on a Cyber 175 computer. The use and analysis of the signatures of light reflected by scattering sites in a moving medium has been actively pursued for the determination of flow velocities. A good overview of the subject was given by Adrian. Here we address the problem of the associated data reduction, in particular when the number of scatterers is relatively small (the order of 100), and the particles are relatively large, of the order of tens of microns; this is called particle image velocimetry (PIV).

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1988
Accession Number
ADA199531

Entities

People

  • B. R. Frieden
  • Csaba K. Zoltani

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Blood Cells
  • Computers
  • Data Reduction
  • Engineering
  • Fast Fourier Transforms
  • Fluid Flow
  • Gel Electrophoresis
  • Identification
  • Jet Propulsion
  • Mainframe Computers
  • Military Research
  • Munitions
  • Particle Image Velocimetry
  • Particles
  • Poiseuille Flow
  • Two Dimensional

Readers

  • Fluid Mechanics and Fluid Dynamics.
  • Image Processing and Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • Cyber
  • Cyber - Quantum