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Cross center extraction with sub-pixel accuracy

机译:跨中心提取具有亚像素精度

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摘要

In order to achieve automatic measurement function, laser scanning measurement system need to ensure that measurement system of the cross and the target center overlapped. To develop the obtaining accuracy of the cross central coordinate, a novel algorithm based on the combination of two-step Hough Transform and Sub-pixel curve fitting was presented. Firstly, Hough Transform was used to detect the straight line of long axis of the cross, and then the central coordinate value of the cross can be deduced roughly through straight line equations. Secondly, take this coordinate as a center, and a certain number of pixel values as the edge length, a region of interest (ROI) can be defined. In this ROI, the two short axes of the cross were obtained to detect the straight line roughly using Hough Transform again. Then, the coordinate value of short axis was acquired at the pixel level with Canny edge detection algorithm. According to the equations of the straight line, rough errors were removed through 3 <7 rule, and the coordinate values of short axis at the sub-pixel level with curve fitting algorithm is obtained. Finally, based at the sub-pixel level of coordinate values, straight line equations of two short axes was presented with LSM, and thus the coordinate of cross center would be accurately detected with the intersection of two short axes. Experimental results showed that the accuracy of the central coordinates value of cross approaches to sub-pixel level and can satisfy the measurement system requirements of high precision.
机译:为了实现自动测量功能,激光扫描测量系统需要确保交叉的测量系统和目标中心重叠。为了提高交叉中心坐标的获取精度,提出了一种基于两步霍夫变换和亚像素曲线拟合的新算法。首先,利用霍夫变换(Hough Transform)检测十字的长轴直线,然后可以通过直线方程粗略推导出十字的中心坐标值。其次,以该坐标为中心,并以一定数量的像素值作为边缘长度,可以定义感兴趣区域(ROI)。在此ROI中,获得了十字的两个短轴以再次使用Hough变换粗略地检测直线。然后,利用Canny边缘检测算法在像素水平上获取短轴坐标值。根据直线方程,通过3 <7法则去除粗略误差,并采用曲线拟合算法得到亚像素级短轴坐标。最后,基于坐标值的亚像素水平,利用LSM给出了两个短轴的直线方程,从而可以通过两个短轴的交点准确地检测出十字中心的坐标。实验结果表明,十字点中心坐标值的精度达到亚像素水平,可以满足测量系统对高精度的要求。

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