微薄硅晶片高速视觉定位及矫正系统
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摘要
为解决当前机械定位存在的不足,提出了一种微薄硅晶片高速视觉定位及矫正系统.视觉定位算法采用链码跟踪以及Principal Component Analysis(PCA)获得"主元",在此基础上采用线段聚类的直线检测算法,拟合出电池片的边缘直线;然后计算出电池片的位置和角度偏差,通过机械手进行位置和角度矫正.实验结果验证了该系统算法的实用性.在实际生产中,该系统能够快速、精确地对电池片进行定位和矫正,大大增加了电池片串焊的效率和精度.
In order to solve the disadvantages of the current mechanical positioning, a high speed vision positioning and correction system for a thin silicon wafer is proposed. The visual location algorithm gets the "master yuan" using the chain code tracking and Principal Component Analysis(PCA), on the basis of the line detection algorithm of line segment clustering, the edge line of the cell is fitted, and then the cell position and angle deviation are calculated, and finally, position and angle are corrected by using manipulator. The experimental results verify the practicability of the algorithm. In the actual production, the system can quickly and accurately locate and correct the battery, greatly increasing the efficiency and accuracy of the battery string welding.
In order to solve the disadvantages of the current mechanical positioning, a high speed vision positioning and correction system for a thin silicon wafer is proposed. The visual location algorithm gets the "master yuan" using the chain code tracking and Principal Component Analysis(PCA), on the basis of the line detection algorithm of line segment clustering, the edge line of the cell is fitted, and then the cell position and angle deviation are calculated, and finally, position and angle are corrected by using manipulator. The experimental results verify the practicability of the algorithm. In the actual production, the system can quickly and accurately locate and correct the battery, greatly increasing the efficiency and accuracy of the battery string welding.
引文
[1]王楠.基于视觉的硅太阳能电池检测方法的研究[D].保定:河北农业大学农业机械化工程学院,2014.
[2]钱晓亮,张鹤庆,陈永信,等.基于机器视觉的太阳能电池片表面缺陷检测研究现状及展望[J].北京工业大学学报,2017,43(1):76-85.QIAN X L,ZHANG H Q,CHEN Y X,et al.Research status and prospect of solar cell surface defect detection based on machine vision[J].Journal of Beijing University of Technology,2017,43(1):76-85.
[3]ABRAHAM S,HENRY F K,SUDARSHAN S.数据库系统概念[M].3版.机械工业出版社,2008.
[4]郭斯羽,周乐前,温和,等.基于二值图像邻域加权的直线Hough变换[J].电子测量与仪器学报,2014,28(5):478-485.GUO S Y,ZHOU L Q,WEN H,et al.Linear hough transform based on binary image neighborhood weighted[J].Journal of Electronic Measurement and Instrument,2014,28(5):478-485.
[5]RAFAEL C G,RICHARD E W.数字图像处理[M].2版.北京:电子工业出版社,2007.
[6]居玲.基于机器视觉的太阳能电池片位置误差检测[J].机械制造与自动化,2012,41(5):166-167.JU L.Solar cell slice position error detection based on machine vision[J].Journal of Mechanical Manufacturing and Automation,2012,41(5):166-167.
[7]ANWAR S A,ABDULLAH M Z.Micro-crack detection of multicrystalline solar cells featuring an improved anisotropic diffusion filter and image segmentation technique[J].Eurasip Journal on Image&Video Processing,2014,2014(1):1-17.
[8]李晨曦,袁红兵.基于Vision Pro的太阳能电池片定位与缺陷检测系统[J].机电一体化,2014(12):50-54.LI C X,YUAN H B.Solar cells positioning and defect detection system based on the Vision Pro[J].Mechanical and Electrical Integration,2014(12):50-54.
[9]袁清珂,张振亚,毕庆.改进RANSAC算法在直线拟合中的应用[J].组合机床与自动化加工技术,2015(1):123-125.YUAN Q K,ZHANG Z Y,BI Q.Application of improved RANSAC algorithm in line fitting[J].Combination Machine Tool and Automatic Machining Technology,2015(1):123-125.
[10]戴激光,张力,李晋威,等.一种链码跟踪与相位验证相结合的直线提取方法[J].测绘学报,2017,46(2):218-227.DAI J G,ZHANG L,LI J W,et al.A method of line extraction combining chain code tracking with phase verification[J].Journal of Surveying and Mapping,2017,46(2):218-227.
[11]董晶,杨夏,于起峰.基于边缘连接的快速直线段检测算法[J].光学学报,2013,33(3):213-220.DONG J,YANG X,YU Q F.Fast line segment detection based on edge connecting[J].Journal of Optics,2013,33(3):1-8.
[12]BASTARI A,BRUNI A,CRISTALLI C.Classification of silicon solar cells using Electroluminescence texture analysis[C]//IEEE International Symposium on Industrial Electronics.[S.l.]:IEEE Xplore,2010:1722-1727.
[13]吴振锋.基于图像传感器的太阳能电池片定位系统[J].电子工业专用设备,2014,43(7):9-12.WU Z F.Positioning system for solar cells based on image sensor[J].Special Equipment of Electronics Industry,2014,43(7):9-12.
[14]刘巍,金文标,肖仙谦.基于主元分析和聚类的直线检测算法[J].计算机应用,2011,31(5):1202-1204.LIU W,JIN W B,XIAO X Q.Approach for line detection based on principal component analysis and clustering[J].Journal of Computer Application,2011,31(5):1202-1204.
[15]欧阳敏,汪仁煌,陈府庭.基于LAB颜色距离的共生矩阵的纹理特征提取[J].广东工业大学学报,2011,28(4):48-50.OUYANG M,WANG R H,CHEN F T.Texture feature cooccurrence matrix LAB color distance extraction based on[J].Journal of Guangdong University of Technology,2011,28(4):48-50.
[16]戴知圣,潘晴,常桂林,等.基于机器视觉的贴片引脚焊接缺陷检测[J].广东工业大学学报,2016,33(3):65-69.DAI Z S,PAN Q,CHANG,G L,etc.Machine vision chip pin welding defect detection based on[J].Journal of Guangdong University of Technology,2016,33(3):65-69.
[2]钱晓亮,张鹤庆,陈永信,等.基于机器视觉的太阳能电池片表面缺陷检测研究现状及展望[J].北京工业大学学报,2017,43(1):76-85.QIAN X L,ZHANG H Q,CHEN Y X,et al.Research status and prospect of solar cell surface defect detection based on machine vision[J].Journal of Beijing University of Technology,2017,43(1):76-85.
[3]ABRAHAM S,HENRY F K,SUDARSHAN S.数据库系统概念[M].3版.机械工业出版社,2008.
[4]郭斯羽,周乐前,温和,等.基于二值图像邻域加权的直线Hough变换[J].电子测量与仪器学报,2014,28(5):478-485.GUO S Y,ZHOU L Q,WEN H,et al.Linear hough transform based on binary image neighborhood weighted[J].Journal of Electronic Measurement and Instrument,2014,28(5):478-485.
[5]RAFAEL C G,RICHARD E W.数字图像处理[M].2版.北京:电子工业出版社,2007.
[6]居玲.基于机器视觉的太阳能电池片位置误差检测[J].机械制造与自动化,2012,41(5):166-167.JU L.Solar cell slice position error detection based on machine vision[J].Journal of Mechanical Manufacturing and Automation,2012,41(5):166-167.
[7]ANWAR S A,ABDULLAH M Z.Micro-crack detection of multicrystalline solar cells featuring an improved anisotropic diffusion filter and image segmentation technique[J].Eurasip Journal on Image&Video Processing,2014,2014(1):1-17.
[8]李晨曦,袁红兵.基于Vision Pro的太阳能电池片定位与缺陷检测系统[J].机电一体化,2014(12):50-54.LI C X,YUAN H B.Solar cells positioning and defect detection system based on the Vision Pro[J].Mechanical and Electrical Integration,2014(12):50-54.
[9]袁清珂,张振亚,毕庆.改进RANSAC算法在直线拟合中的应用[J].组合机床与自动化加工技术,2015(1):123-125.YUAN Q K,ZHANG Z Y,BI Q.Application of improved RANSAC algorithm in line fitting[J].Combination Machine Tool and Automatic Machining Technology,2015(1):123-125.
[10]戴激光,张力,李晋威,等.一种链码跟踪与相位验证相结合的直线提取方法[J].测绘学报,2017,46(2):218-227.DAI J G,ZHANG L,LI J W,et al.A method of line extraction combining chain code tracking with phase verification[J].Journal of Surveying and Mapping,2017,46(2):218-227.
[11]董晶,杨夏,于起峰.基于边缘连接的快速直线段检测算法[J].光学学报,2013,33(3):213-220.DONG J,YANG X,YU Q F.Fast line segment detection based on edge connecting[J].Journal of Optics,2013,33(3):1-8.
[12]BASTARI A,BRUNI A,CRISTALLI C.Classification of silicon solar cells using Electroluminescence texture analysis[C]//IEEE International Symposium on Industrial Electronics.[S.l.]:IEEE Xplore,2010:1722-1727.
[13]吴振锋.基于图像传感器的太阳能电池片定位系统[J].电子工业专用设备,2014,43(7):9-12.WU Z F.Positioning system for solar cells based on image sensor[J].Special Equipment of Electronics Industry,2014,43(7):9-12.
[14]刘巍,金文标,肖仙谦.基于主元分析和聚类的直线检测算法[J].计算机应用,2011,31(5):1202-1204.LIU W,JIN W B,XIAO X Q.Approach for line detection based on principal component analysis and clustering[J].Journal of Computer Application,2011,31(5):1202-1204.
[15]欧阳敏,汪仁煌,陈府庭.基于LAB颜色距离的共生矩阵的纹理特征提取[J].广东工业大学学报,2011,28(4):48-50.OUYANG M,WANG R H,CHEN F T.Texture feature cooccurrence matrix LAB color distance extraction based on[J].Journal of Guangdong University of Technology,2011,28(4):48-50.
[16]戴知圣,潘晴,常桂林,等.基于机器视觉的贴片引脚焊接缺陷检测[J].广东工业大学学报,2016,33(3):65-69.DAI Z S,PAN Q,CHANG,G L,etc.Machine vision chip pin welding defect detection based on[J].Journal of Guangdong University of Technology,2016,33(3):65-69.