基于各向异性双边滤波红外背景抑制方法研究

红外复杂背景抑制作为红外弱小目标检测的重要环节,直接影响着后续算法的目标检测概率和虚警率.针对各向同性双边滤波背景抑制方法因无法改变背景预测方向,在方向性的结构化云边缘存在较大预测残差的问题,本文设计了一种利用原始图像邻域统计信息自适应更新滤波尺度、掩模尺寸和滤波方向的各向异性双边滤波背景预测器,以最大限度地分离目标和背景.仿真实验表明该方法对输入信杂比为4的目标的信杂比增益大于4和对原始图像邻域杂波的背景抑制算子大于4.

Research of Infrared Background Suppression Method Based on Anisotropic Bilateral Filtering

Infrared complex background suppression is an important part of infrared dim target detection, which directly affects the target detection probability and false alarm rate of subsequent algorithms. As the isotropic bilateral filtering background suppression method can not change the background prediction direction and remain a large residual in the direction of the structured cloud edge, in this paper, an anisotropic bilateral filter which adapts the filter parameters including filter scale, mask size and filter direction by using the local characteristics of the image was designed. It separates the target from background more precisely. The test results show that the proposed method has a signal to cluter ratio gain for target and a background suppression operator for clutter, and both are up to 4 with the input signal to clutter ratio of 4.