基于机器视觉复杂形状工件的非接触测量方法  

Non-contact Dimension Measurement of Complex Profile PartBased on Machine Vision

作　　者：娄小平[1] 吕乃光[2] 邓文怡[2] 朱宏德[2] 

机构地区：[1]北京机械工业学院电子信息工程系,北京市100085 [2]北京机械工业学院

出　　处：《工具技术》2005年第7期82-85,共4页Tool Engineering

基　　金：北京市教委科技发展计划项目(项目编号:KM200311232133)

摘　　要：介绍一种利用机器视觉技术完成复杂形状工件断面尺寸检测的非接触测量方法,该方法利用数字图像处理算法对高分辨率CCD器件采集的工件断面图像进行处理,可实现多品种工件的多参数自动测量。通过系统结构和工作过程分析了影响测量精度的因素。A non-contact surface profile dimension measuring method applying the machine vision technique is presented. The system architecture is described and the elements related to precision are analyzed. The part profile images are acquired by using CCD camera with high pixels and processed through special digital image processing algorithm to get high precision. The multi parameters are calculated according to custom definition. A variety of parts with complex surface profile can be measured automatically by this method. From the sides of systematic structure and working process, the influence factors of measuring precision are analyzed.

关 键 词：复杂形状工件 测量方法 机器视觉技术 图像处理算法 CCD器件 尺寸检测 高分辨率 自动测量 测量精度 过程分析 系统结构 行处理 多参数 多品种 断面 

分 类 号：TG580.633[金属学及工艺—金属切削加工及机床] S511[农业科学—作物学]