Journal of the Visualization Society of Japan
Online ISSN : 1884-037X
Print ISSN : 0916-4731
ISSN-L : 0916-4731
A new cross-correlation algorithm for PIV based on Delaunay tessellation
Xiang-Qun SONGFujio YAMAMOTOManabu IGUCHIYuichi MURAI
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1996 Volume 16 Issue Supplement2 Pages 19-22

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Abstract
In this paper, a new algorithm of particle identification based on Delaunay tessellation is proposed. Delaunay tessellation is a method which connects every scattered nodes to form triangles in either two-dimensional or three-dimensional space. Such a triangulation provides an essential step for spatial analysis of scattered data. Delaunay tessellation can be applied in PIV which deals with the particles in image. A new cross-correlation method for particle identification has been devised and tested by numerical simulation. Good result can be obtained.
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