机器视觉测量中透视投影误差分析控制与补偿
|
摘要
在机器视觉齿轮倒角的测量系统中,轮廓测量是实现齿轮中心定位的关键因素。传统镜头成像时,由于透视投影特性,会引起齿轮轮廓圆直径的测量误差,进而影响轮廓圆的定位精度。针对此建立了透视投影误差的非线性模型,并对不同厚度齿轮轮廓圆直径的测量进行了误差分析与补偿。实验结果表明,该方法具有一定的实用价值,满足了齿轮轮廓圆测量的要求。
In the measurement system of gear chamfering machine vision, contour measurement is the key factor to realize gear center positioning. Traditional lens imaging, due to the principle of perspective projection characteristics, will cause the measuring error of gear profile circle diameter, and then affect the positioning accuracy of the contour circle. The nonlinear model of perspective projection error is established, and the error analysis and compensation of the measurement of the diameter of the gear profile of different thickness are made. The experimental results show that the method has a certain practical value, which meets the requirements of gear profile measurement.
In the measurement system of gear chamfering machine vision, contour measurement is the key factor to realize gear center positioning. Traditional lens imaging, due to the principle of perspective projection characteristics, will cause the measuring error of gear profile circle diameter, and then affect the positioning accuracy of the contour circle. The nonlinear model of perspective projection error is established, and the error analysis and compensation of the measurement of the diameter of the gear profile of different thickness are made. The experimental results show that the method has a certain practical value, which meets the requirements of gear profile measurement.
引文
[1]Xu Zengpu,Zhang Shuo.Gear chamfering profile measurement system based on laser sensor and machine vision[J].Advanced Materials Research,2012,341/342:888-892.
[2]吴文琪,孙增圻.机器视觉中的摄像机定标方法综述[J].计算机应用研究,2004,21(2):4-6.
[3]Steger C,Ulrich M,Wiedemanm C.Machine vision algorithms and applications[M].杨少荣,译.北京:清华大学出版社,2008.
[4]李海,张宪民,陈忠.基于直线检测的棋盘格角点自动提取[J].光学精密工程,2015,23(12):3480-3489.
[5]刘珂,周富强,张广军.半径约束最小二乘圆拟合方法及其误差分析[J].光电子·激光,2006,17(5):604-607.
[6]尹洪涛,刘成,李一兵,等.相机标定误差因素分析[J].信息通信,2012(1):28-30.
[7]伍济钢,宾鸿赞.机器视觉的薄片零件尺寸检测系统[J].光学精密工程,2007,15(1):124-130.
[8]丁婷婷,方舟,刘波,等.基于机器视觉检测的摄像机快速标定与误差分析[J].制造自动化,2015(1):89-91.
[9]段瑞玲,李庆祥,李玉和.图像边缘检测方法研究综述[J].光学技术,2005,31(3):415-419.
[10]周培德.计算几何——算法分析与设计[M].北京:清华大学出版社,2000.
[11]刘晶红,李刚.面阵CCD航空相机斜视图像几何畸变校正误差分析[J].仪器仪表学报,2014,35(6):1-8.
[12]张帆.图像处理中曲线曲面拟合问题研究[D].济南:山东大学,2015.
[13]闫海霞.基于数学形态学的图像边缘检测和增强算法的研究[D].长春:吉林大学,2009.
[14]侯宝生.一种基于数学形态学的图像边缘检测方法[J].现代电子技术,2010,33(8):93-96.
[15]Sonya C,Bryan S,Shan S.Edge detecting for range data using laplacian operators[J].IEEE Transactions on Image Processing,2010,19(11):2814-2824.
[2]吴文琪,孙增圻.机器视觉中的摄像机定标方法综述[J].计算机应用研究,2004,21(2):4-6.
[3]Steger C,Ulrich M,Wiedemanm C.Machine vision algorithms and applications[M].杨少荣,译.北京:清华大学出版社,2008.
[4]李海,张宪民,陈忠.基于直线检测的棋盘格角点自动提取[J].光学精密工程,2015,23(12):3480-3489.
[5]刘珂,周富强,张广军.半径约束最小二乘圆拟合方法及其误差分析[J].光电子·激光,2006,17(5):604-607.
[6]尹洪涛,刘成,李一兵,等.相机标定误差因素分析[J].信息通信,2012(1):28-30.
[7]伍济钢,宾鸿赞.机器视觉的薄片零件尺寸检测系统[J].光学精密工程,2007,15(1):124-130.
[8]丁婷婷,方舟,刘波,等.基于机器视觉检测的摄像机快速标定与误差分析[J].制造自动化,2015(1):89-91.
[9]段瑞玲,李庆祥,李玉和.图像边缘检测方法研究综述[J].光学技术,2005,31(3):415-419.
[10]周培德.计算几何——算法分析与设计[M].北京:清华大学出版社,2000.
[11]刘晶红,李刚.面阵CCD航空相机斜视图像几何畸变校正误差分析[J].仪器仪表学报,2014,35(6):1-8.
[12]张帆.图像处理中曲线曲面拟合问题研究[D].济南:山东大学,2015.
[13]闫海霞.基于数学形态学的图像边缘检测和增强算法的研究[D].长春:吉林大学,2009.
[14]侯宝生.一种基于数学形态学的图像边缘检测方法[J].现代电子技术,2010,33(8):93-96.
[15]Sonya C,Bryan S,Shan S.Edge detecting for range data using laplacian operators[J].IEEE Transactions on Image Processing,2010,19(11):2814-2824.