Adjustment of Vision System Parameters and Image Processing Algorithms for Measurement of Miniature Parts in Automatic Assembly

摘要：

Automatic assembly in the small world presents many challenges. In order to fulfill precise measurement with limitation of vision field, diversity and severe surface condition of miniature parts, a two-layered architecture with operator interaction is proposed. These two layers specify for user and developer of the assembly application respectively. Based on part’s feature, the former adjusts vision parameters with the interface of dynamic illumination control and the later develops reasonable feature extraction strategy for measurement of part’s position and orientation with an image processing tool. With general image processing algorithms, it can not only be applied by itself, but also be integrated into an assembly system to facilitate developer to adjust image processing strategy. This operator interaction function can improve the accuracy of recognizing and locating part, promote the success ratio of product assembly and shorter the period of software development as well.

关键词： vision based measurement image processing automatic assembly human-robot interaction.

作者: Wang Xiaodong ChenYong Luo Yi Chen Liang Ma Tianming Teng Lin

作者单位: Key Laboratory for Micro/Nano Technology and System of Liaoning Province,Dalian University of Techno Flight Automatic Control Research Institute,Xian 710065,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 833-838

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）