| 基于机器视觉的零件自动装配系统 |
| |
| 引用本文： | 查英,刘铁根,杜东,江俊峰. 基于机器视觉的零件自动装配系统[J]. 天津大学学报(自然科学与工程技术版), 2006, 39(6): 722-726 |
| |
| 作者姓名： | 查英 刘铁根 杜东 江俊峰 |
| |
| 作者单位： | [1]天津大学精密仪器与光电子工程学院,光电信息技术科学教育部重点实验室,天津300072 [2]天津中德职业技术学院,天津300191 |
| |
| 基金项目： | 天津市应用基础研究项目 |
| |
| 摘 要： | 针对工业装配生产线的削刀架自动装配问题，基于机器视觉技术，构建了一套在线机器视觉系统．采用特征值方法识别零件，并通过质心法结合特征点及最小二阶矩进行定位．利用带有透镜径向一阶畸变的小孔摄像机模型，采用径向排列约束（RAC）2步标定法对摄像机进行了标定，并在线验证．实验结果表明，该方法可获得很好的识别效果，识别零件正确率100％，系统工作时间约300ms，满足装配作业的实时性和精度要求．
|
| 关 键 词： | 机器视觉 图像处理 物体识别 摄像机标定 |
| 文章编号： | 0493-2137（2006）06-0722-05 |
| 收稿时间： | 2004-12-10 |
| 修稿时间： | 2004-12-102005-11-14 |
Part Automatic Assembling System Based on Machine Vision |
| |
| ZHA Ying,LIU Tie-gen,DU Dong,JIANG Jun-feng. Part Automatic Assembling System Based on Machine Vision[J]. Journal of Tianjin University(Science and Technology), 2006, 39(6): 722-726 |
| |
| Authors: | ZHA Ying LIU Tie-gen DU Dong JIANG Jun-feng |
| |
| Affiliation: | 1. Key Laboratory of Opto-Electronics Information and Technical Science of Ministry of Education, School of Precision Instruments and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; 2. Sino-German Vocational Technology Institute, Tianjin 300191, China |
| |
| Abstract: | Based on machine vision technology, an online machine vision system is established to solve the problem of sharpener automatic assembly in the industry. Methods of eigenvalue and the center of mass, combining characters of components and the least second moment, are performed to recognize and locate parts. Based on the pin-hole camera model with one order radial lens distortion, two-step method of RAC (radial array confine) is described to calibrate parameters of camera, which is validated on line. The experiments show that 100% correct recognization result is obtained; the system works reliably and fulfills the operation less than 300 ms, and meets the required accuracy and speed of assembling. |
| |
| Keywords: | machine vision image processing object recognition camera calibration |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
