摘要
坐标测量机中传统的间接定位方法对微小特征定位不够精确,为了提高微小特征的定位精度,采用机器视觉技术对微小特征本身直接定位的方法,进行了理论分析和实验验证。根据红宝石轴承材料的光学特性,设计了视觉自动定位系统,通过图像算法提取轴承内孔的图像中心,并使用测量机的测针端部作为靶标对相机进行标定,取得了相机图像坐标系与测量机坐标系的转换系数数据。结果表明,该系统的定位精度达到0.01mm,这一结果对提高微小特征的定位精度是有帮助的。
To improve the positioning accuracy of small objects, a direct positioning scheme was proposed based on machine vision. Besides, relevant theoretical analysis and experimental verification were carried out. By analyzing the optical features of ruby bearings, a vision automatic positioning system was designed, and image algorithms were used to get the center of the hole. The top of the probe on coordinate measuring machine was used as an ideal target for camera calibration, so the coefficients of coordinate transformation between camera system and the coordinate measuring machine was calculated. Experiments show that the positioning accuracy of the system is up to 0.01mm, which fulfills the requirement of positioning.
出处
《激光技术》
CAS
CSCD
北大核心
2013年第2期227-230,共4页
Laser Technology
关键词
图像处理
自动定位
轮廓跟踪
红宝石轴承
相机标定
image processing
automatic positioning
contour tracking
ruby bearing
camera calibration
