华南理工大学学报(自然科学版) ›› 2005, Vol. 33 ›› Issue (2): 52-55.

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孔位图像识别技术在数控牙刷植毛机中的应用

李伟光 邹海明 叶凡   

  1. 华南理工大学 机械工程学院,广东 广州 510640
  • 收稿日期:2004-10-06 出版日期:2005-02-25 发布日期:2005-02-25
  • 通信作者: 李伟光(1958-),男,博士,副教授,主要从事数控技术、制造自动化与机电一体化等方面的研究 E-mail:wguangli@ scut.edu.cn
  • 作者简介:李伟光(1958-),男,博士,副教授,主要从事数控技术、制造自动化与机电一体化等方面的研究
  • 基金资助:

    广东省科技攻关资助项目(2003C102017)

Application of the Hole-Position Image Identification Technique to the NC Machine for Toothbrush-Hair Planting

Li Wei-guang  Zou Hai-ming  Ye Fan   

  1. College of Mechanical Enginering,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China
  • Received:2004-10-06 Online:2005-02-25 Published:2005-02-25
  • Contact: 李伟光(1958-),男,博士,副教授,主要从事数控技术、制造自动化与机电一体化等方面的研究 E-mail:wguangli@ scut.edu.cn
  • About author:李伟光(1958-),男,博士,副教授,主要从事数控技术、制造自动化与机电一体化等方面的研究
  • Supported by:

    广东省科技攻关资助项目(2003C102017)

摘要: 为提高数控牙刷植毛机加工过程程序输入的准确性及效率,采用扫描仪获得牙刷头部孔位图像,利用图像识别技术、数据处理技术及Visual C+ +.NET软件,经过图像读入、图像定位、中值滤波、图像轮廓提取、图像清理及孔位参数计算等过程,生成了数控牙刷植毛机程序.实验结果表明,本处理方法是可行而有效的,其识别精度能满足实际生产要求,可准确、快捷地实现牙g'l~L位数据的测量,缩短数控牙刷植毛机的辅助加工时间.

关键词: 牙刷植毛机, 数控加工, 孔位图像识别

Abstract:

In order to improve the programming accuracy and eficiency during the NC machining process by toothbrush-hair-planting machines,a hole-position image of the toothbrush head was firstly obtained with the help of a scanner.Then,based on the image identification technique,the data processing technique and the platform of Visual C + +.NET.a program of the NC machining by toothbrush-hair-planting machines was generated.This process
includes the aspects of image inputting,edge position limitation of the image,median filtering,outline distillation,image regularity and calculation of the hole parameters.The experimental resuhs show that the proposed method is feasible and effective,with a precision that can meet the production requirements.It can be used to locate the hole position accurately and rapidly,thus lessening the time cost of the supplementary machining.

Key words: toothbrush-hair-planting machine, NC machining, hole-position image identification