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  • 标题:A High-Speed All-Digital Technique for Agricultural Spray Measurement and Flow Visualization Image Analysis in Pesticide Application
  • 本地全文:下载
  • 作者:Deyun Wei ; Jun Lu ; Hongtao Zhang
  • 期刊名称:Advance Journal of Food Science and Technology
  • 印刷版ISSN:2042-4868
  • 电子版ISSN:2042-4876
  • 出版年度:2013
  • 卷号:5
  • 期号:01
  • 页码:1-4
  • 出版社:MAXWELL Science Publication
  • 摘要:In order to solve the faults in usual measurements of droplet distribution and motion in agricultural spraying field, a new method is given for the analysis of droplets characteristics and motion with PDIA (Particle/ Droplet Image Analysis) and digital image processing technique. During the analysis of the size of droplet and the velocity, images of droplets in spray field have been captured by using high-speed imager. The parameter of droplet such as size, perimeter, equivalent diameter, shape factor and position etc., have been calculated with digital image processing technology. The trace of droplet in different frames has been tracked with the method, which is based on flag tracking and droplet neighborhood matching probability technique. The results showed this method can both realize the motion trace of droplet in different image frames and analyses the velocity of droplet. This technique can detect the droplet parameters quickly and accurately for agricultural sprays and provide the basic way for research on flow visualization image analysis in pesticide application.
  • 关键词:Digital image processing; flow visualization; high-speed imager; PDIA; ; ;
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