玻璃纤维布的机器视觉缺陷检测系统设计
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摘要
针对目前国内玻璃纤维布生产企业的布匹缺陷检测方式仍采用人工检测的状况,设计了一种基于机器视觉的玻璃纤维布缺陷检测系统,该系统包括图像采集模块、人机交互模块、图像处理模块和缺陷数据统计模块四个部分,详细阐述了各模块的实现方法和技术。在VS2010平台下基于C#、Halcon和SQL Sever数据库的研制出了玻璃纤维织布缺陷检测软件系统,并在实验平台上进行了相关的调试和实验验证。结果表明该系统稳定可靠、实时性好,满足了预期的研发要求。
A glass fiber cloth defect detection system is designed on the basis of machine vision system,in order to improve the manual detection mode in quality control adopted in some domestic enterprises manufacturing glass fiber cloth. This system includes image gathering module, image processing module, defect data statistics module and man-machine interaction module. And it is developed through writing C# and Halcon codes and connecting Visual Studio 2010 with SQL Sever databases. After debugging and experimental verification of the software system,it proves that the designed system has stable and real-time performance.
A glass fiber cloth defect detection system is designed on the basis of machine vision system,in order to improve the manual detection mode in quality control adopted in some domestic enterprises manufacturing glass fiber cloth. This system includes image gathering module, image processing module, defect data statistics module and man-machine interaction module. And it is developed through writing C# and Halcon codes and connecting Visual Studio 2010 with SQL Sever databases. After debugging and experimental verification of the software system,it proves that the designed system has stable and real-time performance.
引文
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[4]郝伟,张芳芳.基于计算机视觉技术的针织品瑕疵检测系统设计[J].计算机测量与控制,2013(9):2397-2399.(Hao Wei,Zhang Fang-fang.Knitwear flaw detection method research based on computer vision technology[J].Computer Measurement&Control,2013(9):2397-2399.)
[5]邵鑫玉,华继钊.基于机器视觉的无纺布缺陷自动检测系统[J].计算机科学,2014(S1):487-489.(Shao Xin-yu,Hua Ji-zhao.Automatic detection system of fabric defects based on machine vision[J].Computer Science,2014(S1):487-489.)
[6]王明景,吉峰,白瑞林.经编机布匹瑕疵的在线视觉检测[J].计算机工程与应用,2015(9):185-190.(Wang Ming-jing,Ji Feng,Bai Rui-lin.Machine vision detection method of fabric defects of warp knitting machine[J].Engineering and Application,2015(9):185-190.)
[7]冯宇平,戴明,孙立悦.图像自动拼接融合的优化设计[J].光学精密工程,2010(2):470-476.(Feng Yu-ping,Dai Ming,Sun Li-yue.Optimized design of automatic image mosaic[J].Optics and Precision Engineering,2010(2):470-476.)
[2]黄娟,杨建玺.图像处理在医用纱布表面缺陷检测中的应用[J].机械设计与制造,2013(10):87-89.(Huang Juan,Yang Jian-xi.Application of image processing in medical gauze defect inspection[J].Machinery Design&Manufacture,2013(10):87-89.)
[3]刘洲峰,赵全军,李春雷.基于局部统计与整体显著性的织物疵点检测算法[J].纺织学报,2014(11):62-67.(Liu Zhou-feng,Zhao Quan-jun,Li Chun-lei.Fabric defect detection algorithm using local statistic features and global saliency analysis[J].Journal of Textile Research,2014(11):62-67.)
[4]郝伟,张芳芳.基于计算机视觉技术的针织品瑕疵检测系统设计[J].计算机测量与控制,2013(9):2397-2399.(Hao Wei,Zhang Fang-fang.Knitwear flaw detection method research based on computer vision technology[J].Computer Measurement&Control,2013(9):2397-2399.)
[5]邵鑫玉,华继钊.基于机器视觉的无纺布缺陷自动检测系统[J].计算机科学,2014(S1):487-489.(Shao Xin-yu,Hua Ji-zhao.Automatic detection system of fabric defects based on machine vision[J].Computer Science,2014(S1):487-489.)
[6]王明景,吉峰,白瑞林.经编机布匹瑕疵的在线视觉检测[J].计算机工程与应用,2015(9):185-190.(Wang Ming-jing,Ji Feng,Bai Rui-lin.Machine vision detection method of fabric defects of warp knitting machine[J].Engineering and Application,2015(9):185-190.)
[7]冯宇平,戴明,孙立悦.图像自动拼接融合的优化设计[J].光学精密工程,2010(2):470-476.(Feng Yu-ping,Dai Ming,Sun Li-yue.Optimized design of automatic image mosaic[J].Optics and Precision Engineering,2010(2):470-476.)