ZHANG Yazhu, SHI Xuewei, ZHAO Zengwu, et al. Identification method of droplet size based on digital particle imaging[J]. 2020, (10): 48-50. DOI: 10.13873/J.1000-9787(2020)10-0048-03.
基于数字粒子成像的液滴粒径识别方法
摘要
针对气雾射流雾滴粒径的检测
提出了数字粒子成像法。以图像校正为基础
构建了雾滴畸变图片的自动校正方法
有效解决了图像法在拍摄时正投影方向难以确定的问题。通过编写图像处理程序
用几何校正、二值化、中值滤波等方法对图片进行处理
并对雾滴粒径进行识别。同时
使用已知粒径的单液滴发生器检验了此方法在拍摄和处理图片时的精确性和可靠性。
Abstract
In order to realize the detection of air-mist droplets size
an digital particle imaging method is proposed. Based on image correction
an automatic correction method for air-mist droplet distorted images is constructed
which effectively solve the problem that it is difficult to determine the orthographic projection direction in image shooting. By writing image processing program
image is processed by method of geometry correction
binaryzation
median filtering
the droplets size is identified. siza At the same time
use single droplet generator
whose particle verify the precision and reliablity of this method in shooting and processing images.