基于改进模板匹配及图像差分法的PCB板缺陷多级检测方法

针对目前应用于PCB缺陷检测系统的模板匹配方法及缺陷检测方法存在准确性不足的问题，提出一种基于改进模板匹配及图像差分法的PCB缺陷多级检测方法。提出基于多方向Sobel算子的改进模板匹配方法实现待测图像与模板图像的匹配，针对PCB板漏件缺陷，提出基于图像差分法的多级二值化检测法实现PCB图像的缺陷检测。结合实验平台测试发现，该方法能够准确地提取出缺陷区域。与现有方法相比，该方法的误检率仅5%，具有更好的稳定性以及更高的准确性。

Multi-level detection method for PCB board defects based on improved template matching and image difference

Aiming at the insufficient accuracy of the template matching methods and the defect detection methods used in PCB defect detection system, a multi-level detection method for PCB board defect based on improved template matching and image difference was proposed. Firstly, an improved template matching method based on multi-direction Sobel operator was proposed to realize the matching between the tested image and the template image. On this basis, a multi-level binaryzation detection method based on image difference was proposed to realize the defect detection of PCB image. Combined with the results on the experimental platform, the proposed method can extract the defect area accurately. The false detection rate of this method is only 5%, which has better stability and higher accuracy.