针对玻璃量器的液体容量计量,提出一种基于激光和机器视觉技术的液位测量方法。建立了标准玻璃量器液位高度和容量对应关系的容积表,通过测量得到液位高度就能得到对应的液体体积值;采用数字图像处理等技术,使用高精度摄像头和图像处理...针对玻璃量器的液体容量计量,提出一种基于激光和机器视觉技术的液位测量方法。建立了标准玻璃量器液位高度和容量对应关系的容积表,通过测量得到液位高度就能得到对应的液体体积值;采用数字图像处理等技术,使用高精度摄像头和图像处理软件,提取特征元素,实现玻璃量器中液体体积的高精度测量。设计了和静力衡量法的比对试验进行方法验证,对于100 m L的玻璃量器,测量装置引用误差优于0.2%,拟合算法的扩展不确定度为0.137%(k=2),测量重复性为0.08%。展开更多
Based on structured-light vision measurement technology, we study a measuring method for microdiameter. The measurement principle and mathematical model are described. A novel grayscale barycenter extraction algorithm...Based on structured-light vision measurement technology, we study a measuring method for microdiameter. The measurement principle and mathematical model are described. A novel grayscale barycenter extraction algorithm along the radial direction is proposed, which can precisely gather the image coor- dinates of the ellipse-shaped light-stripe centers. The accuracy of the measurement result shows marked improvement by using the algorithm. The method executes circle fitting to the measured three-dimensional （3D） data using linear least square method, which can acquire the diameter, surface profile, and other information of the object effectively. On the scene, a line-structured light vision system using the presented method is applied to measure the curvature radius of metal blades. Experimental results show that the measurement precision of the system is higher than 2 μm.展开更多
文摘针对玻璃量器的液体容量计量,提出一种基于激光和机器视觉技术的液位测量方法。建立了标准玻璃量器液位高度和容量对应关系的容积表,通过测量得到液位高度就能得到对应的液体体积值;采用数字图像处理等技术,使用高精度摄像头和图像处理软件,提取特征元素,实现玻璃量器中液体体积的高精度测量。设计了和静力衡量法的比对试验进行方法验证,对于100 m L的玻璃量器,测量装置引用误差优于0.2%,拟合算法的扩展不确定度为0.137%(k=2),测量重复性为0.08%。
文摘Based on structured-light vision measurement technology, we study a measuring method for microdiameter. The measurement principle and mathematical model are described. A novel grayscale barycenter extraction algorithm along the radial direction is proposed, which can precisely gather the image coor- dinates of the ellipse-shaped light-stripe centers. The accuracy of the measurement result shows marked improvement by using the algorithm. The method executes circle fitting to the measured three-dimensional （3D） data using linear least square method, which can acquire the diameter, surface profile, and other information of the object effectively. On the scene, a line-structured light vision system using the presented method is applied to measure the curvature radius of metal blades. Experimental results show that the measurement precision of the system is higher than 2 μm.
