摘要
大视场星敏感器的发展以及光电望远镜观测模式的改进,对CCD星图图像处理速度提出了更高的要求。文章给出了交叉投影星点快速定位算法的一种改进方法,根据其投影原理对投影值进行二值化后,运用差分方法对星图目标进行边界提取,并结合质心定位算法实现对星图目标的快速定位。仿真实验结果表明,同交叉投影算法相比本方法具有更快的处理速度。
Developments of large FOV （field of view） star sensor and opto-electronic telescope observation mode need a rapider CCD star image processing speed than before. This paper provides an improved method of the cross projection algorithm for star point rapid locating. It includes following steps： first,preprocessing the star image to binarization by determining a threshold, then, making horizontal and vertical projections of the binarized image. In each projection direction, extracting the domain bound of the star point object using the method of binarization difference, which is different from the traditional marker method, finally, implementing the star image rapid locating, using the centroid method to calculate the precise position of the star point. The experiment shows that the improved method has a higher processing speed than the cross projection algorithm.
出处
《信息工程大学学报》
2009年第3期376-378,382,共4页
Journal of Information Engineering University
基金
科研基金资助项目
关键词
星图处理
星点快速定位
二值化差分
交叉投影
star image processing
star point rapid locating
binarization difference
cross projection
