摘要
为了提高自动光学检测过程中图像采集的效率,需要对取像的视场位置和取像的路径进行优化.现有取像方法的一个共同点就是效率偏低,鉴于此提出了基于混合遗传算法的路径规划方法,该方法可一步完成路径优化,进而提高取像的时间效率.仿真结果验证了该算法的有效性,在相同的条件下,可以减少取像时间,提高检测效率,克服了传统顺序取像方法的缺点,针对电路板进行离线路径规划,不会影响实际在线取像的时间.基于混合遗传算法的路径规划方法,有效解决了自动光学检测中路径规划关键问题,对提高工业生产效率,具有重要意义.
In order to improve the efficiency of AOI in the process of collecting images, the location and field of image taking must be optimized. The existing methods in common are low efficient, so a new path planning method based on the hybrid genetic algorithm is proposed to optimize the path and raise the efficiency of detection. The simulation results show the effectiveness of the algorithm. Under the same conditions, the application of this method can save time, thus improves the efficiency of detection and overcomes the shortcomings of traditional methods such as image taking in order, meantime, the board for off-line path planning will not affect the time of actual on-line image taking. The path planning method based on the hybrid genetic algorithm is an effective solution to the key issues of path planning in AOI, and is of great significance for efficiency improvement in industrial production.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2009年第1期93-96,共4页
Journal of Harbin Institute of Technology
关键词
PCB
遗传算法
聚类
路径规划
PCB inspection
genetic algorithm
clustering problem
path planning
