针对传统算法无法准确提取线结构光条中曲率变化较大区域中心线的缺陷,提出了 一种基于改进灰度重心法的线结构光中心线提取算法.基于阈值法提取感兴趣区域和开闭运算滤除图像中的噪声点,获取质量相对较高的待处理图像;利用灰度重心法提取光条中心点,得到初始坐标并设置一个矩形计算区域,根据最小二乘法计算每个初始点的方向向量和法向量;在设定的矩形区域内计算初始点在其法线方向上的偏移量,得到精确的中心点坐标.实验结果表明:提出的算法能在线结构光中心中曲率变化较大区域精确提取中心线,提取精度均值为0.096 pixels,精度比率为44.2％,平均提取速度为0.082 s.
Abstract
Aiming at the defect that the traditional gray gravity method cannot accurately extract the center line of the region with large curvature change in the line structured light strip,an algorithm for extracting the center line of line structured light based on improved gray barycenter method is proposed.The region of interest is extracted based on the threshold method,and the noise points in images are filtered through the open and close operation to obtain the im-age to be processed with relatively high quality.Center points of the light strip through the gray gravity method.And a rectangular calculation area is set up.The direction vector and normal vector of the initial points are extracted accord-ing to the least square method.Finally,the offset of the initial point in the normal direction is recalculated in the rec-tangular area to obtain the exact coordinates of the center point.Experimental results show that the proposed algorithm can accurately extract the center line from the region with large curvature change in the center of line structured light,achieving a mean precision of 0.096 pixels,a mean precision rate of 44.2％,and an average extraction speed of 0.082 seconds.
关键词
线结构光中心线/改进灰度重心法/区域法向量/直线拟合
Key words
centerline of line structured light/improved gray gravity method/region normal vector/linear fitting
维普
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