摘要
分析星图中星点获取算法的具体流程,针对传统星体目标聚类方法的不足,提出了动态框搜索算法。首先采用固定像素框搜索区域最大灰度值点,然后以该点为中心,结合星图图像中真实星点的分布情况,采用大小可变的像素框进行星体目标聚类,最后采用加权质心法得到星点的中心位置。仿真实验表明,该算法能达到良好的效果。
The specific flow of star acquisition method and the disadvantages of traditional astral cluster method are presented.To solve these problems,the algorithm of dynamic box is put forward.Firstly,this algorithm searched the biggest grey value point in one area with fixed pixel box.Then,the size of the variable pixel box is adopted to cluster astral target focused on this point,combined with the distribution of the true star in the image map.At last,the star center coordinates is got through the qualitative method.The experimental results indicate that the proposed algorithm can achieve a good result.
出处
《航天电子对抗》
2012年第5期34-37,共4页
Aerospace Electronic Warfare
