Gear Tooth Profile Recognition System Based on Machine Vision

摘要：

This paper presents a new type for detection of spiral bevel gears by using machine vision technology. It is a high efficiency, high precision and non-contact detection system. The concrete method is shown as follows: Cameras were calibrated with improved Tsai two-step method. Then, the two cameras in two different orientations taken gear images. After matching the two images robustly, using correspondence between image feature points and imaging geometry to solve the three-dimensional coordinates of feature points. Finally, recognize tooth profile in contrast deal tooth data.

关键词： machine vision spiral bevel gear gear tooth profile recognize

作者: Li Qiang Yan Hongbo Liu Yi

作者单位: Inner Mongolia University of Science &Technology IMUSTBao Tou,China Inner Mongolia University of Science &Technoiogy IMUST,Bao Tou,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 12-15

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）