摘要
自动光学检查是利用图像处理算法进行电路板故障检测与定位的技术。电路板短路和断路故障是电路板生产过程常见故障,快速准确地检测与定位是评价电路板检测系统性能的主要指标之一。本文提出一种新颖的检测电路板短路和断路故障算法,首先对目标图像进行边缘轮廓的提取,然后利用Hough变换确定目标的数目和位置,最后通过连通域搜索找到发生短路和断路的位置,实验证实了该算法的性能。
Automatic Optical Inspection （AOI） is a technique for fault detection and location of electrical circuit board using digital image processing algorithms. Short and open are the common faults in manufacture process of electrical circuit boards. Their rapid and accurate detection and location is one of the important characteristics to evaluate circuit board inspection system. How to detect and locate open and short faults simultaneously is crucial to reduce processing time and steps. A novel algorithm proposed in this paper. The edge profile image of the to detect and locate open and short faults in circuit boards is objects is extracted using edge operator. Then the edge profile image is Hough transformed to determine the number and location of the objects. The locations of short and open faults are found by connective region search. The performance of the proposed algorithm is validated in experiments.
出处
《电子测量与仪器学报》
CSCD
2007年第3期1-4,共4页
Journal of Electronic Measurement and Instrumentation
关键词
自动光学检查
边缘分割
HOUGH变换
连通域搜索
故障检测与定位
automatic optical inspection, edge segmentation, Hough transform, connective region search,fault detection and location.
