摘要
在3D打印电路板领域中,对于压电喷墨墨滴的要求越来越高,传统墨滴观测方法不够完善,精度不稳定,为此,基于机器视觉的非接触式原理对压电喷墨墨滴进行识别观察研究。首先搭建一套远心机器视觉测量系统,采集有效的墨滴图像。然后结合亚像素边缘提取算子和最小二乘法设计了一种改进的边缘最小二乘拟合法,并与区域最小外接圆法和边缘最小外接圆法进行对比分析。实验结果表明,提出的方法获取的墨滴半径误差小,精度高,对边缘进行半径计算得到的结果更精确,且可以用于监测卫星墨滴的存在,研究结果对提高电路喷墨效果具有重要指导意义。
In the field of 3D printed circuit board,the requirements for piezoelectric inkjet ink droplets are getting higher and higher.The traditional ink droplet observation method is not perfect and the accuracy is unstable.Therefore,this paper studies the identification and observation of piezoelectric inkjet ink droplets based on the non-contact principle of machine vision.Firstly,a telecentric machine vision measurement system is built to collect effective ink drop images.Then combined with sub-pixel edge extraction operator and least square method,an improved edge least square fitting method is designed and compared with regional least circumcircle method and edge least circumcircle method.The experimental results show that the ink droplet radius obtained by the method proposed in this paper has small error and high precision.The results obtained by calculating the radius of the edge are more accurate,and can be used to monitor the existence of satellite ink droplets.The research results have important guiding significance for improving the circuit inkjet effect.
作者
刘清涛
骞满
吕景祥
宋佳瑶
LIU Qingtao;QIAN Man;LV Jingxiang;SONG Jiayao(Key Laboratory of Road Construction Technology and Equipment Ministry of Education,Chang′an University,Xi′an 710064,CHN)
出处
《制造技术与机床》
北大核心
2022年第8期57-62,共6页
Manufacturing Technology & Machine Tool
基金
陕西省自然科学基金资助项目(2021JM-166)。
关键词
机器视觉
墨滴识别
亚像素
精密测量
卫星墨滴
machine vision
ink droplet recognition
subpixel
precision measurement
satellite ink droplets
