基于邻域特征的网点激光打孔定位算法研究  

Research of laser pointing location algorithm based on neighborhood characteristics feature

作　　者：王博 刘晓东[1] 李君豪 陈泰宇 刘容麟 WANG Bo;LIU Xiaodong;LI Junhao;CHEN Taiyu;LIU Ronglin(National Engineering Research Center for Laser Processing,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]华中科技大学激光加工国家工程研究中心

出　　处：《激光技术》2019年第5期591-596,共6页Laser Technology

摘　　要：为了解决在激光加工中大尺寸多盲孔的网点加工件定位困难的问题,用工业相机拍摄局部图片,根据网点中盲孔的结构特征和分布特点,采用最小二乘法拟合圆的方法检测局部图片中的盲孔,使用邻域特征的方法寻找网点中的特征点,并利用特征点匹配实现局部定位整体,从而实现了加工件的精确和高效定位。结果表明,邻域特征法对网点中盲孔的定位精度为0.02mm,实现了对盲孔的有效定位,解决了网点加工件定位困难的问题。该研究为在盲孔中完成激光加工等后续研究提供了基础。In order to solve the difficult problem of locating large size multi-blind holes in laser processing,local pictures were taken by industrial cameras.According to the structure and distribution characteristics of blind holes in meshes,blind holes in local images were detected by least square fitting circle method.Neighborhood feature was used to find feature points in a network.By using feature point matching to realize local localization as a whole,the precise and efficient positioning of the workpiece was realized.The results show that,neighborhood feature method has a positioning accuracy of 0.02mm for blind holes in meshes.Effective positioning of blind holes is realized.It solves the problem of difficult positioning of dot processing parts.This study provides a basis for further research on laser processing in blind holes.

关 键 词：激光技术 网点定位 最小二乘法 邻域特征 

分 类 号：TG665[金属学及工艺—金属切削加工及机床]