Abstract
A particle-mask-correlation (PMC) method is developed to identify the multi-sized particles for Particle Tracking Velocimetry (PTV). The main principle of the technique is to utilize the difference of the correlation value obtained from correlation calculation between the particle mask and the particle image with multi-sized particles. The accuracy and the validity of the PMC method have been studied in the present research for different mask widths, M, and standard deviation δ of the mask. In the particle image, each particle is large enough so that the airy disk can be neglect and the particle diameters are easy to be distinguished. Investigation of the PMC method has been started with the artificial particle images, and then testified using actual PTV images. It has been shown that the two diameters dp, and d'can be well distinguished if d'/dp>2.5; correlation value is most decreased when the distance between two particles 1 is identical to the particle diameter dp.
