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.
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Kohsei Takehara: He received his BSc(Eng) degree in civil engineering in 1986 from Kyushu Institute of Technology, his MS degree in 1988 and Ph.D. in 1997 from Kyushu University. After he received his MS degree, he worked as a research associate at Kinki University. He took his current position as Assistant Professor at Kinki University in 1996. His research interests include the gas-transfer at water surfaces, the development of PTV techniques and so forth.
Takeharu Etoh: He received his BSc(Eng) degree in 1968, MS degree in 1970 and Ph.D. degree in 1974 in civil engineering from Osaka University. Since 1973, he has worked for Kinki University. He took his current position as Professor in 1983 at Kinki University.
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Takehara, K., Etoh, T. A study on particle identification in PTV particle mask correlation method. J Vis 1, 313–323 (1999). https://doi.org/10.1007/BF03181412
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DOI: https://doi.org/10.1007/BF03181412