CHEN Hai-xiu, CHENG Ding, HU Zhen-lin. Application of image analysis in liquid drop detection technology[J]. 2016, 35(4): 157-160. DOI: 10.13873/J.1000-9787(2016)04-0157-04.
图像分析在液滴检测技术中的应用
摘要
基于图像分析的液滴检测技术对研究液体特性具有重要意义
样品液滴的形状参数是表征液滴特性的一个重要参数。设计了基于CCD摄像机图像采集的液滴检测系统
对液滴图像进行滤波、去噪、二值化等图像处理
提取宽长比、复杂度、形状参数和离心率等特征参数
结合多项式拟合和层次分析法对液滴轮廓外形进行分析。通过实验证明:在液滴检测技术中
图像技术具有现实可行性。
Abstract
The liquid drop detection technology based on image analysis is of great importance to study liquid properties
and shape parameter of sample is an important parameter for characterizing droplet properties. Droplet detection system based on CCD camera image acquisition is designed
use image processing technologies
such as filtering
denoising
binary processing
and extract width-length ratio
complexity
shape parameter
centrifugal rate
etc.
outline shape of droplet profile is analyzed combined with polynomial fitting and hierarchy analysis method. Experimental results show that the image technology has practical feasibility in liquid drop detection technology.