基于机器视觉的螺栓几何形状检测方法研究  

Research of Bolts Geometry Detection Method Based on Machine Vision Technology

作　　者：许昊[1] 李维荣[1] 程鹏[1] 

机构地区：[1]中机生产力促进中心,北京100044

出　　处：《机电产品开发与创新》2013年第6期103-105,共3页Development & Innovation of Machinery & Electrical Products

基　　金：国家技术科技重大专项课题(2013ZX04002081)

摘　　要：螺栓的外形对保证其质量有着极其重要的作用,针对螺栓的外形结构特点,本文设计了螺栓的检测流程,并使用VC6.0开发了检测程序。根据螺栓的几何特征,选取面积、周长、质心、圆形度等判定参数,然后,介绍了螺栓头部,螺纹外径、中径的测量方法。经验证,这些特征参数和检测算法能很好的辨别出螺栓的外形缺陷。The shape of bok has an important role in ensuring its quality. According to the bolt shape features, a new detecting process is designed and a new detecting software which is based on VC6.0 is developed. Taking the bok geometric characteristics into consideration, parameters including area, perimeter, cancroid and so on are selected as criteria. At the same time, the ways of measuring bolt head and screw diameter are introduced. The experiments indicate that these parameters and detection methods can identify the bolt shape defects effectively.

关 键 词：机器视觉 螺栓检测 几何缺陷 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]