摘要
传统小孔检测方法适用于单个小孔的测量,检测微小群孔时效率低。针对微小群孔快速检测的需求,设计了一种基于数字图像处理技术的微小群孔快速检测系统,提取图像骨架,用模式匹配算法识别群孔,采用最小区域法逐个获取各个小孔的直径与圆度,引入真圆度信息判别各小孔的形状。实验表明:该系统精度满足生产要求,检测效率高,适用于微小群孔的快速检测。
Traditional detection methods of micro holes mainly aim at detecting single hole, and have a low lever of efficiency when applied in detecting multiple micro holes. A rapid detection system for multiple micro holes based on digital image processing technology is developed. The multiple micro holes are recognized through image skeleton extraction and pattern matching algorithm. The minimum zone method is used to obtain the diameter and the roundness of each hole, and the information of circle degree is employed to distinguish the shape of each hole. Experiments show that the system is provided with a fast detection speed and enough precision for meeting the production requirements, and suitable for rapid detection of multiple micro holes.
出处
《传感器与微系统》
CSCD
北大核心
2009年第6期73-75,79,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金重点资助项目(50635040)
关键词
微小群孔
快速检测
数字图像处理
骨架
模式匹配
multiple micro holes
rapid detection
digital image processing
skeleton
pattern matching
