A Study on Particle Identification in PTV Particle Mask Correlation Method

Authors:
K. Takehara;T. Etoh
Affiliations:
Department of Civil Engineering, Kinki University, 3-4-1 Kowakae, Higashi Osaka, Osaka, 577-0818 Japan;Department of Civil Engineering, Kinki University, 3-4-1 Kowakae, Higashi Osaka, Osaka, 577-0818 Japan
Venue:
Journal of Visualization
Year:
1998

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Abstract

An algorithm for particle identification in PTV, which is classified in the category .particle mask correlation method,.is presented and tested. A typical brightness pattern of a particle image is referred to as a particle mask. The particle mask is centered on a pixel in the image plane and the cross correlation between the particle mask and a region of the image plane centered on the given pixel is calculated. The particle mask is scanned over the entire image plane and the cross correlation coefficient is calculated at each pixel location. Small subareas with high correlation coefficients indicate central areas of particle images.