Three-Dimensional PTV Based on Binary Cross-Correlation Method : Algorithm of Particle Identification

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概要

• 論文の詳細を見る

• The present study proposes a new method of particle identification in three-dimensional particle-tracking velocimetry (3D PTV) using binary image data. It is based on the necessary condition for particle identification and the 3D cross-correlation method for evaluating the similarity of particle distribution patterns in two spaces. Computer simulations are carried out to investigate the effects of the sizes of particles, search subregion and identification subregion on the particle identification performance. The method has two key advantages. One is quick and accurate particle identification performance and the other is that the computer memory required for the computation of particle identification is generally small compared to other methods.

• 社団法人日本機械学会の論文
• 1993-05-15

著者

• Ohmi Kazuo

  Osaka Sangyo Univ. Daito‐shi Jpn

• YAMAMOTO Fujio

  Fukui University

• Ohmi Kazuo

  Osaka Sangyo University Faculty Of Engineering

• Uemura Tomomasa

  Osaka University, Faculty of Engineering Science

• Uemura Tomomasa

  Osaka University Faculty Of Engineering Science

• Tian Zhang

  Xi'an Jiaotong University

• Yamamoto Fujio

  Fukui Univ.

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