一种应用在高精度贴片机上的视觉纠偏算法
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摘要
高精度贴片机的视觉定位系统是提高贴片精度的关键。利用机器视觉技术分别对贴片元件和PCB板的位置及角度偏差进行检测。采用了以区域生长法为基础的元件中心和角度的计算方法,以最大内接矩形法计算了PCB板的中心和角度,从而得到了需要纠偏的位移和角度。实验验证元件中心的检测精度可达30μm,算法处理总时间为63.6ms,满足贴装元件定位检测系统对高速高精度的要求。
Vision positioning system is the key technology for improving the accuracy of high precision mounter.The machine vision was proposed to detect the deviation of surface mounted technology(SMT)components and PCB board.The regional growth method and the maximum internal rectangle method were used to calculate the displacement and angle center of the SMT components and PCB board,respectively,and the displacement and angle that needed correction were obtained.Experiments show that the detection accuracy of the component center can reach30μm and the total processing time is 63.6 ms,so it can meet the requirements for fast detection of mounting components with high precision.
Vision positioning system is the key technology for improving the accuracy of high precision mounter.The machine vision was proposed to detect the deviation of surface mounted technology(SMT)components and PCB board.The regional growth method and the maximum internal rectangle method were used to calculate the displacement and angle center of the SMT components and PCB board,respectively,and the displacement and angle that needed correction were obtained.Experiments show that the detection accuracy of the component center can reach30μm and the total processing time is 63.6 ms,so it can meet the requirements for fast detection of mounting components with high precision.
引文
[1]LI Yongqing.SMD surface mount device placement process[J].China Science and Technology Information.2011,23(16):81,86.李永清.表面安装器件SMD贴装工艺研究[J].中国科技信息,2011,23(16):81,86.
[2]REYNOLDS M R,CAMPANA C,SHETTY D.Design of machine vision systems for improving solder paste inspections[C]//ASME 2004International Mechanical Engineering Congress and Exposition.USA:ASME,2004:921-929.
[3]WU Degang,ZHAO Liping.Circular hole size measurement system based on computer vision[J].Journal of Applied Optics,2013,34(6):1014-1018.吴德刚,赵利平.基于机器视觉的圆孔尺寸测量系统研究[J].应用光学,2013,34(6):1014-1018.
[4]WANG Zujin,HUANG Xiaodiao,GU Pingping.Vision positioning algorithm for chip components based on Harris corner features[J].Journal of Jiangsu University:Natural Science Edition,2014,35(5):531-535.王祖进,黄筱调,顾萍萍.基于Harris角点特征的贴片元件视觉定位算法[J].江苏大学学报:自然科学版,2014,35(5):531-535.
[5]LIU Jie.Machine visions research and application in the SMM of SMT[J].Journal of Soochow University:Engineering Science Edition,2011,31(3):73-76.刘杰.数字图像处理技术在贴片元件纠偏中的应用[J].苏州大学学报:工科版,2011,31(3):73-76.
[6]CHEN Geheng,LI Huajie,FANG Xiaowei.Research of the vision positioning system of surface mounting machine based on phase congruence and Hough circle transform[J].Science Technology and Engineering,2015,15(27):59-63.陈戈珩,李华杰,房晓伟.基于相位一致性和Hough圆的贴片机视觉定位系统的研究[J].科学技术与工程,2015,15(27):59-63.
[7]JIANG Tao,WANG Anlin,WANG Shigang,et al.An error correction method for PCB based on machine vision[J].Journal of Shanghai Jiaotong University,2005,39(6):388-392.姜涛,王安麟,王石刚,等.基于机器视觉的印刷电路板误差校正方法[J].上海交通大学学报,2005,39(6):388-392.
[8]XIE Yangmin,LIU Qiang.Research on locating algorithm of vision alignment system in automatic high precision chip mounter[J].Optical Technique,2008,34(3):449-451,454.解杨敏,刘强.高精度自动贴片机视觉系统定位算法研究[J].光学技术,2008,34(3):449-451,454.
[9]WEI Jinyu,SHI Henan,SU Siqin.Image segmentation of automatic seeded region growing based on improved algorithm[J].Journal of Central South University:Natural Science Edition,2013(S2):308-312.魏津瑜,施鹤南,苏思沁.基于改进算法的自动种子区域生长图像分割[J].中南大学学报:自然科学版,2013(S2):308-312.
[10]LOWE D G.Object recognition from local scale invariant features[J].Proceeding of the Seventh IEEE International Conference on Computer Vision,1999,2(3):1150-1157.
[11]JIANG Li.Position error visual detection algorithm for chip component based on rectangle fitting[J].Machine Building and Automation,2013,42(5):72-74,85.姜利.基于矩形拟合的Chip元件位置误差视觉检测算法[J].机械制造与自动化,2013,42(5):72-74,85.
[2]REYNOLDS M R,CAMPANA C,SHETTY D.Design of machine vision systems for improving solder paste inspections[C]//ASME 2004International Mechanical Engineering Congress and Exposition.USA:ASME,2004:921-929.
[3]WU Degang,ZHAO Liping.Circular hole size measurement system based on computer vision[J].Journal of Applied Optics,2013,34(6):1014-1018.吴德刚,赵利平.基于机器视觉的圆孔尺寸测量系统研究[J].应用光学,2013,34(6):1014-1018.
[4]WANG Zujin,HUANG Xiaodiao,GU Pingping.Vision positioning algorithm for chip components based on Harris corner features[J].Journal of Jiangsu University:Natural Science Edition,2014,35(5):531-535.王祖进,黄筱调,顾萍萍.基于Harris角点特征的贴片元件视觉定位算法[J].江苏大学学报:自然科学版,2014,35(5):531-535.
[5]LIU Jie.Machine visions research and application in the SMM of SMT[J].Journal of Soochow University:Engineering Science Edition,2011,31(3):73-76.刘杰.数字图像处理技术在贴片元件纠偏中的应用[J].苏州大学学报:工科版,2011,31(3):73-76.
[6]CHEN Geheng,LI Huajie,FANG Xiaowei.Research of the vision positioning system of surface mounting machine based on phase congruence and Hough circle transform[J].Science Technology and Engineering,2015,15(27):59-63.陈戈珩,李华杰,房晓伟.基于相位一致性和Hough圆的贴片机视觉定位系统的研究[J].科学技术与工程,2015,15(27):59-63.
[7]JIANG Tao,WANG Anlin,WANG Shigang,et al.An error correction method for PCB based on machine vision[J].Journal of Shanghai Jiaotong University,2005,39(6):388-392.姜涛,王安麟,王石刚,等.基于机器视觉的印刷电路板误差校正方法[J].上海交通大学学报,2005,39(6):388-392.
[8]XIE Yangmin,LIU Qiang.Research on locating algorithm of vision alignment system in automatic high precision chip mounter[J].Optical Technique,2008,34(3):449-451,454.解杨敏,刘强.高精度自动贴片机视觉系统定位算法研究[J].光学技术,2008,34(3):449-451,454.
[9]WEI Jinyu,SHI Henan,SU Siqin.Image segmentation of automatic seeded region growing based on improved algorithm[J].Journal of Central South University:Natural Science Edition,2013(S2):308-312.魏津瑜,施鹤南,苏思沁.基于改进算法的自动种子区域生长图像分割[J].中南大学学报:自然科学版,2013(S2):308-312.
[10]LOWE D G.Object recognition from local scale invariant features[J].Proceeding of the Seventh IEEE International Conference on Computer Vision,1999,2(3):1150-1157.
[11]JIANG Li.Position error visual detection algorithm for chip component based on rectangle fitting[J].Machine Building and Automation,2013,42(5):72-74,85.姜利.基于矩形拟合的Chip元件位置误差视觉检测算法[J].机械制造与自动化,2013,42(5):72-74,85.