为了实时捕获混杂在天基背景中的运动目标,采用基于Fourier—Mellin图像配准与边缘提取相结合的差分算法。先采用Fourier—Mellin算法和相位相关算法求取图像的旋转角度及缩放和平移参数,得出配准点,再对连续采集的两帧图像配准、差分、二值化,将差分图像与后一帧边缘提取的图像进行逻辑乘,得到目标。仿真结果表明,该算法虚警率低,适合微型航天器多目标捕获的要求。
In order to capture the targets which are intermixed in the space background, a difference algorithm that cumbines image registration based on Fourier- Mellin algorithm with edge detection is introduced. Firstly, using Fourier - Mellin algorithm and phase correlation algorithm to get the rotation, scaling and translation parameters, The algorithm uses image registration,image difference to the two images which are collected seriate images and then binarizes the difference image. Secondly,multiplying the binarized difference image with the later image after edge deteection to detect the target. The result of simulation indicates that the recognized result is good. The proposed method is relatively fit microspacecraft target detector to identify the spatial target.