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基于OpenCV与USB工业相机零件检测系统的图像处理研究
引用本文:黄振峰,陈海平,邓培,张鑫星.基于OpenCV与USB工业相机零件检测系统的图像处理研究[J].现代电子技术,2012,35(18):128-132.
作者姓名:黄振峰  陈海平  邓培  张鑫星
作者单位:广西大学机械工程学院,广西南宁,530004
基金项目:国家科技重大专项资助项目(2008ZX07317-001-002)
摘    要:针对OpenCV库函数在Linux平台下不能直接获取非V4L接口的USB工业相机视频流和IplImage结构的图像不能直接显示于Qt控件中的问题,提出了一种新的解决方法:共享数据流法,并在Qt集成开发环境下完成共享数据流法的程序代码编写;最后通过与原有方案的实验对比,验证了共享数据流法的可行性和优越性,为实现高速高精度机械零件检测系统打下良好的基础。

关 键 词:图像处理  OpenCV  USB工业相机  Linux

Image processing of detection system for parts in industrial camera based on OpenCV and USB
HUANG Zhen-feng , CHEN Hai-ping , DEI Pei , ZHANG Xin-xing.Image processing of detection system for parts in industrial camera based on OpenCV and USB[J].Modern Electronic Technique,2012,35(18):128-132.
Authors:HUANG Zhen-feng  CHEN Hai-ping  DEI Pei  ZHANG Xin-xing
Affiliation:(College of Mechanical Engineering,Guangxi University,Nanning 530004,China)
Abstract:A novel approach,named shared-streams,is proposed in this paper to tackle the two problems that OpenCV library function can’t directly obtain video data flow from the USB industrial cameras with non-V4L interface on the Linux platform and the IplImage structure images can’t immediately be showed in Qt control.The code of the shared-streams solution is written under the Qt integrated developing environment.In experimental comparison with the traditional program,the results indicate the feasibility and the advantages of shared-streams approach,which has established a solid foundation for the mechanical part detection system with high speed and precision.
Keywords:image processing  OpenCV  USB industrial camera  Linux
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