目的 设计贴片电阻方向检测系统，以解决当前贴片电阻排序编带过程中存在的检测效率低和检测精度低等问题。方法 采用改进的基于形状的模板匹配算法，以机器视觉软件Halcon为平台，利用Canny边缘检测算子和Sobel算子进行边缘检测和滤波，生成模板图像的边缘点位置向量和梯度向量，并以模板边缘点与图像搜索区域的对应点的内积和作为相似度量，进行模板匹配。结果 检测系统的识别时间为33 ms，同时其平均识别准确率达99.5%以上，相比于传统人工检测有较大提高。结论 该系统具有良好的速度和准确度，可满足工业生产要求。

The work aims to design the chip resistance direction detection system, in order to solve the problems such as low detection efficiency and low detection precision in the process of ordering the current chip resistance. With the machine vision software Halcon as the platform, the improved shape-based template matching algorithm was used to carry out the edge detection and filtering based on the Canny edge detection operator and Sobel operator, so as to generate the edge point position vector and gradient vector of the template image. The template matching was conducted with the inner product of the template edge point and the corresponding point in the image search area. The recognition time of the detection system was 33 ms, and its average recognition accuracy was more than 99.5%, which was better than that of the traditional manual detection. With good speed and accuracy, the system can meet the requirements of industrial production.