【作者】 戴曙光； 穆平安； 金晅宏；

【Author】 Dai Shuguang Mu Pingan Jin Xuanhong(University of Shanghai for Sci, & Tech. , Shanghai 200093, China)

【机构】 上海理工大学光电学院；

【摘要】 利用图像处理技术,通过制作车灯零件的图像模板,达到自动检测车灯零件的缺损,代替原来用各种传感器定位的检测系统,实现检测系统的灵活多变和柔性化。为提高系统在线检测的可靠性及稳定性,作者对车灯图像进行多角度的分析,探讨了零件模板制作中的各种影响因素,提出了采取多种图像匹配技术综合识别的方法。更多还原

【Abstract】 This automobile lamp part auto-monitoring system can monitor the quality of lamp parts through making parts’ image templates with some image processing techniques. This system took the place of the previous system that make use of many sensors’ location and realized the monitoring system’s flexibility. In order to improve the system’s stability, this paper introduced some experiment data on various lighting conditions and put forward the image processing means with synthesizing several pattern matching techniques.更多还原