A video-based monitor for assessing free-fall droplet motion

Chih-Yen Chen, C. Weng, C. Hwang, C. Hsieh
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Abstract

A newly video-based monitoring technique was developed in this study to characterize the shape and free-fall velocity of water droplets. The free-fall droplet monitoring system integrates three main components which are containing the CCD image sensor for capturing video images, the backlight source for illuminating the water droplets, and the computation unit for the image acquisition and function control. Subsequently, the high-speed CCD image sensor was used to capture images in 200 fps and the exposure time was set at 100 μs. With high contrast images, we mark out every droplet by detecting its contour. Later, a series of droplet detection and tracking algorithms were executed to obtain the velocity of the free-fall droplets. In the simulation experiments, the glass balls and the water droplets ejected from a sprinkler were both introduced for the verification of the system performance. The experimental results support the proposed free-fall droplet monitoring system including the combination of droplet detection and droplet tracking algorithms are capable to provide a promising approach for the measurement of the free-fall droplets. Additionally, this apparatus could be improved by replacing a CCD image sensor with larger sensing area or the faster sampling rate in our next attempt.
用于评估自由落体液滴运动的视频监视器
本研究开发了一种新的基于视频的监测技术来表征水滴的形状和自由落体速度。自由落体液滴监测系统由三个主要部件组成,分别是用于采集视频图像的CCD图像传感器、用于照亮水滴的背光光源以及用于图像采集和功能控制的计算单元。随后,采用高速CCD图像传感器采集200 fps的图像,曝光时间设置为100 μs。对于高对比度的图像,我们通过检测其轮廓来标记每个液滴。然后,执行一系列液滴检测和跟踪算法来获得自由落体液滴的速度。在仿真实验中,为了验证系统的性能,引入了喷头喷射出的玻璃球和水滴。实验结果表明,所提出的自由落体液滴监测系统,包括液滴检测和液滴跟踪算法的结合,能够为自由落体液滴的测量提供一种有前途的方法。此外,在我们的下一次尝试中,可以通过更换更大的传感面积或更快的采样率的CCD图像传感器来改进该装置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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