基于MFC_HALCON图像识别Mark圆的检测方法_李泽峰1
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基于 MFC+HALCON 图像识别 Mark 圆的检测方法
李泽峰，欧阳八生
*
(南华大学 机械工程学院， 衡阳 421000)
摘要：为了解决传统印刷电路板(Printed Circuit Board，PCB)中定位标识圆（以下简称
Mark圆）的检测精度和准确率不高的问题，采用了曲线拟合及优化拟合算法改善Mark圆检
测方式并进行了理论分析，通过使用微软基础类库（Microsoft Foundation Classes，MFC）
嵌入标准的机器视觉算法包HALCON的方法搭建检测平台进行实验验证，结果表明，该方
法检测成功率可达97%，检测精度在0.3 pixel以下，检测时间小于100ms，解决了传统PCB
中Mark圆精度不高的问题，同时大量测试数据显示在图像发生平移、旋转、缩放的环境下
仍能保证较好的检测效果，该研究对实际PCB生产检测具有一定借鉴意义。
关键词：图像处理；Mark检测；MFC嵌入HALCON ；曲线拟合；优化拟合；激光加工
中图分类号：TP317.4 ；TN247 文献标志码：A
Image recognition Mark circle detection scheme based on
MFC+HALCON technology
LI Zefeng, OUYANG Basheng
*
(College of Mechanical Engineering, The University of South China, Hengyang Hunan 421000 ,China)
Abstract: In order to solve the problem of low detection accuracy of mark circle in
traditional printed circuit board (PCB), the curve fitting and optimization fitting algorithm
are used to improve the mark circle detection mode, and the theoretical analysis is carried
out. And the test platform is built by using Microsoft Foundation classes (MFC) to embed
the standard machine vision algorithm package Halcon for experimental verification. The
results showed that the success rate of the method was 97%, the detection accuracy was
less than 0.3 pixel and the detection time was less than 100ms.it solved the problem of
low accuracy of mark circle in traditional PCB. At the same time, a large number of test
data showed that it could still ensure a good detection effect in the environment where the
image was panned, rotated, zoomed. This research has certain reference significance to
the actual PCB production detection.
Keywords: image procession; Mark detection; MFC embedded in HALCON; curve
fitting; optimization fit; laser processing
引言
随着中国制造2025的提出，各行业不断蓬勃发展，电子行业印刷电路板(Printed Circuit
网络出版时间：2019-10-28 11:33:06
网络出版地址：http://kns.cnki.net/kcms/detail/51.1125.TN.20191028.1132.010.html
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