一种基于混沌优化算法的PCB板元件检测方法

先进电子制造生产中经常要对PCB板元件进行检测与识别,介绍了一种基于图像模板匹配算法的PCB板元件自动快速检测方法.从检测速度和准确度出发,首先提出了一种图像相似性度量参数指标,并提出一种利用并行混沌算法融合单纯形的算法,来优化搜索图像相似性,给出了算法实现的全过程.用实际拍摄的PCB板元件进行性能测试,验证了该优化算法能提高检测速度.

Detection method of printed circuit board components based on chaotic optimization algorithm

A fast auto-detection method of printed circuit board (PCB) components based on image template matching is introduced in this paper for advanced electronic manufacturing production. In view of practical utilization, a suitable approach of computing the image correlation coefficient is presented. Parallel chaotic optimization algorithms (PCOA) is suggested to optimize the search matching speed, and the whole process of implementing the algorithm is elaborated. To test its performance, the proposed PCOA algorithm is compared with genetic algorithms by using the real picture of PCB components. It is concluded that the proposed approach is more efficient for auto-detection of PCB components.