Particle Image Velocimetry by Feature Tracking

Authors:
Dmitry Chetverikov
Affiliations:
-
Venue:
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Year:
2001

Citing 4
Cited 0

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Abstract

Particle Image Velocimetry (PIV) is a popular approach to flow visualisation in hydro- and aerodynamic studies and applications. The fluid is seeded with particles that follow the flow and make it visible. Traditionally, correlation techniques have been used to estimate the displacements of the particles in a digital PIV sequence. In this paper, two efficient feature tracking algorithms are customised and applied to PIV. The algorithmic solutions of the application are described. Techniques for coherence filtering and interpolation of a velocity field are developed. Experimental results are given, demonstrating that the tracking algorithms offer Particle Image Velocimetry a good alternative to the existing techniques.