一种星图中星的提取方法

Method of star acquisition from star image

在分析星图中的星像和小目标图像中的小目标像的共性的基础上,提出了一种将高通滤波和动态阈值相结合的星图中星的提取方法,来完成星图处理过程中较为耗时的星图提取工作.即滤波后先确定阈值,再通过高通滤波提取图像的候选点,由于虚假目标太多,需要通过动态阈值对候选点进行二次提取.仿真结果表明这种方法与矢量法相比,当不给星图加背景噪声时,两种方法提取精度相当.一旦给星图加上噪声,矢量法的提取精度迅速下降,提出的方法的提取精度远远高于矢量法,而提取时间却与矢量法相差无几.因此提出的方法表现出较强的抗噪能力.

Based on the similarities between star and small target,a new method of star extraction from star image comprised of high pass filter and dynamic threshold was proposed to deal with the star acquisition. The star image was filtered by the high pass filter with a threshold fixed before-hand to obtain possible star pixels. Owing to the abundance of illusive objects, the possible star pixels were acquired by using dynamic threshold. The simulation results illustrate that the vector technique and our algorithm have same precision with the absence of noise. Once noise is added onto star image, the precision of proposed method is much higher than that of the vector technique, while the processing efficiency of them remains the same. Thus the proposed method has strong anti-noise ability.