随着光纤通信技术及相关高精度产品制造业的高速发展,传统依靠手工及肉眼等检测方式不仅操作误差大,而且不能满足大规模生产的需求.通过改进传统基于灰度值模板匹配数学模型和建立符合实际目标检测的形状匹配数学模型,提出单个光纤收发PCB小板整体检测的算法.实践表明,该算法在300个样本产品中的测量误差都能控制在5微米以内,产品的平均检测用时能控制在200 ms以内,符合批量生产的需求.这一算法与传统模板匹配算法相比,识别性能有所提高.该算法对于类似高精度产品的自动化检测系统设计开发也具有重要借鉴意义.%With the high development of optical fiber communication and manufacturing of related high-precision products,traditional detection methods based on hands,eyes and so on cannot only cause great error,but also do not meet the demand of large-scale production.Through improving the traditional mathematical model based on gray-value,and building shape-based mathematical model suitable for real target detection,we presented the overall detection algorithm of one fiber transceiver board PCB.The result shows the measurement error of the algorithm in 300 sample products can be controlled within 5 microns,and the average measuring time of every product can be kept within 200 microseconds,which meets the needs of mass production.The algorithm has better recognition performance comparing to traditional pattern matching and it has important significance to the design and development of automatic detection system of similar high-precision products.
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