摘要
The basic principle of autoguiding was introduced in detail,which included the proper star selection and tracking algorithm.Considering that the star energy distribution in the image was approximately Gaussian distribution,a reliable target star selection method was proposed.The algorithm analyzed a threshold value of the image firstly,and then a number of candidate stars were detected according to the threshold condition.The target star was selected from the candidate stars by guiding criterion.Finally,the centroid coordinate of the target star was calculated through Gaussian fitting.The accuracy of the target star detection and calculating speed were both improved,the experimental results showed that the proposed algorithm can achieve a good autoguiding performance.
详细介绍了自动导星的工作原理,对自动导星的星点检测及跟踪算法进行研究,结合星点能量在星图上分布近似高斯分布的特性,提出一种稳定可靠的目标星点提取算法。算法首先分析了星点目标的阈值判断原则,根据阈值条件确定一定数量的候选星点,然后在候选星点中筛选出最优的目标星点,最后通过高斯曲线拟合的办法求取最优目标星点的质心坐标。该方法提高了目标星点提取的准确性和计算速度,实验结果表明:改进后的算法能够达到良好的效果。
出处
《红外与激光工程》
EI
CSCD
北大核心
2014年第8期2684-2689,共6页
Infrared and Laser Engineering
基金
国家科技攻关计划基金(2012BAI14B06,2011BAI12B06)
中央高校基本科研业务专项基金(2013FZA5018)
