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自动导星星点检测及跟踪算法研究
引用本文:蔡文娟,王立强,袁波. 自动导星星点检测及跟踪算法研究[J]. 红外与激光工程, 2014, 43(8): 2684-2689
作者姓名:蔡文娟  王立强  袁波
作者单位:1.浙江大学 现代光学仪器国家重点实验室,国家光学仪器工程技术研究中心,浙江 杭州 310027
基金项目: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)
摘    要: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。

关 键 词:星点追踪   星点检测   自动导星
收稿时间:2013-12-21

Star detection and tracking algorithm of autoguiding
Affiliation:1.State Key Laboratory of Modern Optical Instrumentation,CNERC for Optical Instrumentation,Zhejiang University,Hangzhou 310027,China
Abstract: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.
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