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本文为解决红外低信噪比条件下快速运动点目标的检测问题，提出了一种基于膨胀累加、边检测边跟踪的检测方法。运用形态膨胀运算使同一目标处于不同帧上的能量仍然能够实现有效的累加，从而达到增强目标并有效剔除虚警点的目的。同时本文还采用小波变换预处理的方法，对图像中相关的１／ｆ噪声进行白化。在本文的最后，采用红外图像序列对该算法进行模拟。实验证明该算法能够快速检测出信噪比为２的运动点目标，获得了很好的实验结果。
In order to solve the problem of fast moving point target detection under low signal-to-noise ratio, a detection method based on expansion accumulation and edge detection is proposed. By using morphological expansion arithmetic, the energy of the same target in different frames can still be effectively accumulated, so as to achieve the goal of enhancing the target and effectively eliminating false alarm points. At the same time, this paper also uses the wavelet transform preprocessing method to whiten the 1 / f noise related to the image. At the end of this paper, the infrared image sequence is used to simulate the algorithm. Experimental results show that the algorithm can quickly detect the moving-point target with signal-to-noise ratio of 2, and obtain good experimental results.