基于图像拼接技术的动态目标重建

Dynamic Object Reconstruction Technique Based on Image Mosaic

在直瞄式制导武器作战过程中,由于导弹光标大面积遮挡目标,导致目标图像失真,影响到目标跟踪的可靠性和准确性。文中首先采用阈值分割法分离出导弹光标与目标,利用角点检测法获取目标特征并实施跟踪,再依据角点匹配法确定相邻两场角点的对应关系,最后采用了仿射变换对填充区域的像素位置实行必要的坐标变换,最终将导弹光标遮挡的动态目标进行恢复重建。仿真结果表明:该方法可以有效、实时地恢复目标图像,提高对动态目标的跟踪能力。

When using LOS guidance weapons,the missile cursor signal often shilds on target image,the target is prone to be lost and that would influence reliability and accuracy of target tracking. The paper applies threshold segmentation to seperate missile tail-flame from target first. Secondly,corner detection was used to acquire object features and track the target,and then corner matching was used to obtain the corresponding relation of cornes in two adjacent fields. At last,affine transformation was applied to coordinate transformation with the position of pixels in the fill area. Finally,the dynamic object which is shielded by missile cursor signal can be reconstructed. Simulation results show that the algorithm can effectively renew target image in real time and improve target tracking accuracy.