针对天空背景下红外序列图像中小目标检测实时性以及工程化的要求，设计了一种基于FPGA＋双DSP 的实时检测系统，用硬件方式实现了红外图像高通滤波、自适应阈值分割、管道滤波的组合检测算法。通过对实测红外序列图像进行实验表明，该系统能实时、有效的检测25 帧/s 的低信噪比红外序列图像。

Towards the problems of real-time and engineering application for small target detecting in infrared image sequences in the sky background, a detection system is designed based on FPGA and double DSP. In this system, the combinational detection algorithms such as high-pass filtering, self-adaptive threshold segmentation approach and pipeline filtering by the hardware were realized. Experiments on real infrared image sequences show that the system can effectively detect small target in low SNR infrared image sequences with 25 frames per second in real time.