激光光斑中心精确定位算法研究

Research of PreciseLaser Spot Center Location Algorithm

研究激光光斑精确定位问题,传统的亚像素定位算法,面临抗干扰能力弱、定位精度低和软件实现复杂等问题。为了满足变形测量系统中对激光光斑中心精确定位的要求,提出了基于重心的曲线拟合亚像素定位算法。在重心法的基础上,引入了曲线拟合算法来提高激光光斑中心定位的精度。由于加入了图像预处理环节,有效的降低了噪声干扰,增强了算法的抗噪声性能。算法仅对图像中少量的数据点进行计算,不但语言描述简单,而且能大大节省系统资源。仿真结果表明算法是一种实用的精确定位算法,提高变形测量系统的精度要求。

Traditional sub-pixel location algorithm often has some problems such as poor anti interference capability,low location precision and complexity of software realization.In order to meet the requirements of precise laser spot center positioning in distortion measurement system,the curve fitting sub-pixel location algorithm of barycenter is proposed.On the basis of barycenter method,curve fitting algorithm is proposed to improve the precision of laser spot center location.As the image preprocessing is added,the algorithm effectively reduced noise and enhanced noise robust.Only few data points are calculated by the algorithm which not only has simple language description,but also effectively saves system resources.The simulation results indicate that the sub-pixel location algorithm is a practical precise location method and meets the accuracy requirements of micro distortion measurement.