华南理工大学学报(自然科学版) ›› 2016, Vol. 44 ›› Issue (7): 70-76,89.doi: 10.3969/j.issn.1000-565X.2016.07.011

• 机械工程 • 上一篇    下一篇

基于图像处理的微钻芯厚测量

张舞杰 聂新桥 何广栋   

  1. 华南理工大学 机械与汽车工程学院,广东 广州 510640
  • 收稿日期:2015-11-25 修回日期:2016-03-29 出版日期:2016-07-25 发布日期:2016-06-05
  • 通信作者: 张舞杰(1970-),男,副教授,主要从事图像处理、模式识别、过程监控和嵌入式装备控制等研究. E-mail:383967403@qq.com
  • 作者简介:张舞杰(1970-),男,副教授,主要从事图像处理、模式识别、过程监控和嵌入式装备控制等研究.
  • 基金资助:
    国家科技支撑计划项目(2015BAF20B01); 广东省科技计划项目(2012A090100012,2013B010134010,2014B090921003);广州市科技计划项目(201604010064)

Measurement of Micro Drill Web Thickness on the Basis of Image Processing

ZHANG Wu-jie NIE Xin-qiao HE Guang-dong   

  1. School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2015-11-25 Revised:2016-03-29 Online:2016-07-25 Published:2016-06-05
  • Contact: 张舞杰(1970-),男,副教授,主要从事图像处理、模式识别、过程监控和嵌入式装备控制等研究. E-mail:383967403@qq.com
  • About author:张舞杰(1970-),男,副教授,主要从事图像处理、模式识别、过程监控和嵌入式装备控制等研究.
  • Supported by:
    Supported by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (2015BAF20B01) and the Science and Technology Program of Guangdong Province (2012A090100012, 2013B010134010,2014B090921003)

摘要: 针对接触式芯厚测量设备不能测量直径小于 0. 30 mm 的微钻的问题,提出了基于图像处理的微钻芯厚测量方法. 为了提高设备的检测精度,对 3 种亚像素边缘检测算法进行了对比,综合各算法的误差和耗时,选取灰度矩法为亚像素边缘检测算法;并通过对直径 0. 40mm、0. 25mm 的钻头的芯厚测量来验证文中提出的测量方法的精确性. 结果表明:对直径 0. 40mm 的钻头,基于图像处理的芯厚测量方法的重复精度可达 1μm,重复精度优于接触式芯厚测量方法;对于直径 0. 25mm 的钻头,基于图像处理的芯厚测量方法的重复精度仍可达到 1μm,说明该方法能够有效测量直径小于 0. 30mm 的微钻的芯厚.

关键词: 微钻, 芯厚, 亚像素边缘检测, 图像处理, 重复精度

Abstract: As the traditional instruments for web thickness measurement is inefficient for the micro drills with an outer diameter of less than 0.30mm,a novel method on the basis of image processing is proposed.In order to im- prove the instrument accuracy,a comparison is made among three subpixel edge detection algorithms,and the gray moment algorithm is selected as the subpixel edge detection algorithm by comprehensively considering the error and time consumption.Then,two micro drills respectively with the diameters of 0.40mm and 0.25mm are used to veri- fy the proposed method.The results show that,for the micro drill with a diameter of 0.40mm,the proposed method on the basis of image processing presents a repeatability of 1μm,which is higher than that of the traditional contact measuring method; and that the repeatability keeps 1μm even for the micro drill with a diameter of 0.25mm,which means that the proposed method is effective in measuring the web thickness of micro drill with a diameter being less than 0.30mm.

Key words: micro drill, web thickness, subpixel edge detection, image processing, repeatability

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