红外搜索跟踪系统中实时图像配准的研究和实现

为实现在红外探测器运动的条件下地面弱小目标的快速搜索与跟踪,提出了一种基于相位相关法配准和角点法配准相结合的红外图像配准方法实现对红外图像的运动补偿。根据相位相关法配准和角点法配准的特点,首先利用相位相关法对运动中的红外图像进行粗配准,然后利用相位相关法配准的结果作为角点法配准的先验信息实现图像的高精度配准。实验结果表明该算法能够在不降低配准精度的条件下,实时地为红外搜索跟踪系统提供红外图像的位移信息,有效地提高了红外搜索跟踪系统对弱小目标的检测率和检测精度。

Design and Implementation of a Real-time Image Registration in an Infrared Search and Track System

In order to realize the fast search and tracking of ground dim target under the movement condition of infrared detector, an infrared image registration method is proposed based on phase correlation registration and corner registration, which can make the infrared image motion compensation come true. After using the phase correlation registration for rough registration in movement infrared images, the high precision registration was realized by the priori information of the corner registration, which combined the features of phase correlation registration and corner registration. Experimental results validate that the infrared image displacement information had been provided and the small detection rate and accuracy had been improved by the algorithm, which didn ’t reduce the registration accuracy in real-time infrared search and track system.