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Advanced algorithm for PIV image processAdvanced algorithm for PIV image process
•• Particle Tracking Particle Tracking VelocimetryVelocimetry::•• Tracking individual particleTracking individual particle•• Limited to low particle image density caseLimited to low particle image density case•• Velocity vector at random points where tracer Velocity vector at random points where tracer
particles exist.particles exist.•• Spatial resolution of PTV results is usually Spatial resolution of PTV results is usually
limited by the number of the tracer particleslimited by the number of the tracer particles
•• CorrelationCorrelation--based PIV:based PIV:•• Tracking a group of particlesTracking a group of particles•• Applicable to high particle image density caseApplicable to high particle image density case•• Spatial resolution of PIV results is usually Spatial resolution of PIV results is usually
limited by the size of the interrogation window limited by the size of the interrogation window sizesize
•• Velocity vector can be at regular grid points.Velocity vector can be at regular grid points.
The ideal of correlation error correction techniqueThe ideal of correlation error correction technique(multiple(multiple--correlation validation technique)correlation validation technique)
•• Since the noise peak in the correlation space may be randomly, cSince the noise peak in the correlation space may be randomly, causing the multiplied value to ausing the multiplied value to be reduced to zero. Thus, the correct peak can be easily identifbe reduced to zero. Thus, the correct peak can be easily identified. ied.
•• The location of the correct peak in the correlation space is corThe location of the correct peak in the correlation space is corresponding to the averaged responding to the averaged movement of the overlap regionmovement of the overlap region