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Proceedings Paper

Microscope droplet size detecting based on image processing
Author(s): Qi Pan; Zijia Zhang; Bangshan Yue
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Paper Abstract

This paper presents a novel microscope spray droplets detecting technique based on image processing method, which is applied to an experimental measurement performed on a flat fan atomizer nozzle. The droplets images are detected by an image acquisition system. The raw images are pre-processed to enhance the images and avoid the illumination unevenness effect. An image restoration method based on iterative blind deconvolution is applied to improve the quality of the blurred image due to droplets movement and defocus. Circle Hough transform and the least square method are applied to find the droplet contour in the image, and the droplets diameters are calibrated and counted. A criterion is presented to avoid repeated statistic problem. The measurements of water spray droplet size distribution from a small flat fan nozzle atomizers are taken and the experiment results are analyzed.

Paper Details

Date Published: 11 January 2017
PDF: 6 pages
Proc. SPIE 10244, International Conference on Optoelectronics and Microelectronics Technology and Application, 102440K (11 January 2017); doi: 10.1117/12.2260899
Show Author Affiliations
Qi Pan, Nanjing Univ. of Information Science & Technology (China)
Zijia Zhang, Nanjing Univ. of Information Science & Technology (China)
Bangshan Yue, Nanjing Univ. of Information Science & Technology (China)


Published in SPIE Proceedings Vol. 10244:
International Conference on Optoelectronics and Microelectronics Technology and Application
Shaohua Yu; Jose Capmany; Yi Luo; Yikai Su; Songlin Zhuang; Yue Hao; Akihiko Yoshikawa; Chongjin Xie; Yoshiaki Nakano, Editor(s)

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