Microscope droplet size detecting based on image processing

Qi Pan; Zijia Zhang; Bangshan Yue

doi:10.1117/12.2260899

11 January 2017 Microscope droplet size detecting based on image processing

Qi Pan, Zijia Zhang, Bangshan Yue

Proceedings Volume 10244, International Conference on Optoelectronics and Microelectronics Technology and Application; 102440K (2017) https://doi.org/10.1117/12.2260899
Event: International Conference on Optoelectronics and Microelectronics Technology and Application, 2016, Shanghai, China

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.

Citation Download Citation

Qi Pan, Zijia Zhang, and Bangshan Yue "Microscope droplet size detecting based on image processing ", Proc. SPIE 10244, International Conference on Optoelectronics and Microelectronics Technology and Application, 102440K (11 January 2017); https://doi.org/10.1117/12.2260899

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