摘要
针对场流分离后,微粒处理时存在尺寸不直观等问题,提出了基于图像处理技术检测微粒尺寸的方法。首先用CCD并配合图像处理软件采集微粒图像并进行预处理,然后用阈值化方法分割图像。在测量尺寸时,以小麦粉作为被测量样本,利用动态聚类处理,得出微粒16个、最大半径1.600μm、最小半径1.000μm、平均半径1.187 5μm、半径方差0.661 4等。试验表明,本文提出的检测微粒尺寸参数的方法方便可行。
A method to measure micro particulates based on image processing is presented. The particulate image is collected and pre-processed by CCD combined with a image-processing software system, then segmented by threshold mothod. By using flour as specimens and utilizing the dynamic clustering method coded by C＋＋, the 16 particulates with the maximum radius of 1. 600 μm, minimum radius of 1. 000 μm, average radius of 1. 187 5 μm and standard deviation of radius of 0. 661 4 have been obtained. The experiment results indicate that the presented method is effective and feasible.
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2007年第4期611-614,共4页
Optics and Precision Engineering
基金
国家自然科学基金(No.10572053)
高等学校博士学科点专项基金(No.20040183057)
关键词
微粒半径
场流分离
CCD
动态聚类
particulate radius
field flow fractionation
CCD
dynamic clustering
