Research on the measurement of gypsum rain based on digital imaging technique

被引：0
|
作者：
Tian C. [1 ,2 ]
Cai Y. [1 ,2 ]
Su M. [1 ,2 ]
机构：
[1] School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai
[2] Key Laboratory of Multiphase Flow and Heat Transfer in Shanghai Power Engineering, Shanghai
来源：
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2020年 / 41卷 / 09期
关键词：
Drop measurement; Gypsum rain; Image method; Improved watershed algorithm; Robust principal component analysis;
D O I：
10.19650/j.cnki.cjsi.J2006685
中图分类号：
学科分类号：
摘要：
The condition monitoring of gypsum rain droplets is realized by image processing. Firstly, to eliminate the interference of complex background, multiple robust principal component analysis is used to separate the image pre-background. The Top-Hat algorithm is utilized to enhance the contrast of the droplet image. Wiener filtering is used to remove the image noise, and the maximum inter-class variance method is utilized for image binarization. Then, the closed edge method is adopted to smooth the edge of the droplet, and the complete gypsum rain droplet image is achieved by the hole filling and ellipse fitting method. The interference object in the image is removed by the definition threshold. Finally, the improved watershed algorithm is used to segment the adhesion droplets, and the Regionprops function is utilized to extract the equivalent diameter and concentration of gypsum rain droplets. Experimental results show that the droplet particle characteristic results under the complex background based on the method are in good agreement with the analysis results using Image J under the uniform background, and the deviation of the droplet equivalent circle average particle size is less than 3%. © 2020, Science Press. All right reserved.
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页码：224 / 231
页数：7
相关论文
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