基于机器视觉的小微零件缺陷检测技术及装置研究
2018-11-12
作者：赵海峰1，2，郭燕1，崔吉1，沈江越1，袁明虎1，朱成1
单位：1南京信息职业技术学院；2中北大学
摘要：针对小微工件手动检测效率低的问题，研究了基于机器视觉的工件表面缺陷识别技术，设计了自动检测平台。以典型轴承零件为被测对象，采用视觉系统完成零件的成像、滤波、图像增强，利用提出的图像差值算法与标准图样对比，完成了零件表面的缺陷提取。实验表明，系统可以实现小微零件的表面凹陷、磨损、划痕、凸起等多种瑕疵的检测，提高产品的检测效率。
关键词：机器视觉；小微零件；表面缺陷；图像检测
中图分类号：TG806; TH741.3; TP391.4文献标志码：A
Research on Technology and Equipment for Surface Defects of
Microcomponents Based on Machine Vision
Zhao Haifeng，Guo Yan，Cui Ji，Shen Jiangyue，Yuan Minghu，Zhu Cheng
Abstract:In view of the low efficiency of manual detection for microcomponents，the recognition technology and equipment for surface defects is studied.An automatic detection platform is designed.Taking the typical bearing parts as the measured objects，the imaging，filtering and image enhancement of the object are completed based on the machine vision.And the defects on the surface of the parts are extracted through the proposed image difference algorithm which compared test pattern and standard pattern.The experiments show that the system can detect the defects of microcomponents，such as surface depression，wear，scratch，bulge and so on，and the system can improve the detection efficiency of the products.
Keywords:machine vision，micro components，surface defects，image detection