红外弱小目标检测中的特征选择性滤波方法

Characteristic-Selecting Filtering in Infrared Small Target Detection

针对红外图像弱小目标检测中的预处理问题,提出了一种特征选择性滤波方法(CSF),该方法创造性地将各向异性滤波应用到图像空域,通过分析红外图像中不同特征区域的特性,改进了系数分布函数,使CSF在消除背景、平滑边缘的同时,增强目标信号。最后给出了该方法的滤波特性分析和实验结果,并与其他滤波方法做了比较。实验结果表明该方法具有良好的背景抑制和目标增强性能,且结构简单,有利于实时实现。

For solving the pre-processing problem of dim small target detection in infrared images, a characteristicselecting filtering （CSF） method is proposed. The method applied anistropic diffusion to images＇ spatial domain creatively. Through analyzing the properties of various kinds of characteristic regions, the method improved the coefficient distribution function to suppress clutter, smooth edge and enhance target. The filtering characteristic analysis and experimental results were given, which were compared with those by some other methods. The results show that this approach can provide good performance of suppressing clutter and enhancing target signal, and its structure is simple to be implemented in real-time system.