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Journal of Flow Visualization and Image Processing
SJR: 0.161 SNIP: 0.312 CiteScore™: 0.5

ISSN Druckformat: 1065-3090
ISSN Online: 1940-4336

Journal of Flow Visualization and Image Processing

DOI: 10.1615/JFlowVisImageProc.v2.i1.70
pages 83-91

DIGITAL IMAGE ANALYSIS FOR THE INCOHERENT MEDIUM DENSITY PIV

Tomomasa Uemura
Faculty of Engineering, Kansai University, 3-3-35 Yamate, Suita-shi, Osaka, 564 Japan
Manabu Iguchi
Faculty of Engineering, Osaka University, 2-1 Yamada-oka, Suita-shi, Osaka, 565, Japan
Zen-Ichiro Morita
Department of Materials Science and Processing Osaka University, Osaka, Japan

ABSTRAKT

A new algorithm for the particle tracking velocimetry is proposed. The algorithm aims to accelerate the analysis of particle imaging velocimetry (PIV) pictures in which particles distribute densely and frequently overlap or touch each other. It is based on PTV algorithms, a modified velocity vector histogram method and the binary-image correlation method. The modified method is used to detect directions of tracers and then, the binary-image method determines displacements of tracers. The new algorithm is examined using simulated pictures during a development procedure and is then applied to actual pictures of moving particles. The processing time, although not shorter than that of the binary-image correlation is far less than that of the popular correlation analysis.


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