摘要
针对不透明玻璃瓶传统灯检方式检测精度低,人力成本高的问题,研制了一套基于机器视觉的自动检测系统。研究了内壁检测系统的机械与机电控制系统结构,开发了动态成像系统;提出了基于120°交叉投影中值定位方法,根据内壁污迹、杂质灰度值的分布特征采取专家决策算法进行识别。选择128 mL不透明白色回收瓶为对象进行测试,检测的正确率在99.125%以上,远高于人工灯光验瓶。
With regard to the problems of low detection accuracy and high labor cost in the traditional detection of opaque bottles, automatic inspection system based on machine vision is studied. This paper researches the mechanical and electrical control system structure of the detection system for the inner wall, and develops the dynamic imaging system. It puts forward the middle-value positioning method based on the 120° cross-projection to make an identification by adopting an expert-deciding algorithm according to the inner wall stains, impurities gray value distribution characteristics. The 128 mL opaque white bottle is selected for testing the object. The correct detection rate at 99.125%is much higher than the artificial lighting inspection.
出处
《计算机工程与应用》
CSCD
2013年第19期265-270,共6页
Computer Engineering and Applications
基金
国家自然科学基金重点项目(No.60835004)
国家高技术研究发展计划(863)(No.2007AA04Z244)
湖南省研究生科研创新项目(No.CX2009B0703)
关键词
机器视觉
不透明瓶质量检测
污迹识别
machine vision
quality detection of opaque bottles
stains identify
