运用形态膨胀检测红外运动点目标

Moving Infrared Low SNR Target Detection Algorithm

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。

This paper is presented to resolve the moving infrared target detection problem under the condition of low SNR. The scheme of multi frame accumulation is often adopted in low SNR infrared target detection, but for moving low SNR target, this simple accumulation scheme maybe degrade greatly. In this paper, a detection algorithm based on morphological dilation before accumulation and tracking is proposed. The dilation operation enables the energy of the same targets in different frames can be accumulated effectively in spite of the movement of targets, thus we can reach the aim of enhancing the target. The false alarm candidates are removed during the procedure of tracking while detection, a mullet piece track association scheme is adopted to improve the robustness of this detection algorithm. A preprocessing algorithm using wavelet transform is also adopted to remove the correlation of 1/f noise in parallel scanned infrared image. At the end of the paper, the whole algorithm is simulated with infrared image sequence. A high performance is reached and the experimental result indicates that the algorithm can effectively detect the moving target with SNR of 2. [WT5”HZ〗