基于局部均值差分的红外小目标图像背景抑制算法

复杂背景条件下红外小目标检测是提高红外武器系统探测距离的有效措施之一。针对小目标的特点提出了一种基于局部均值差分的红外小目标图像背景抑制算法。首先,通过优化的高通滤波进行初始背景抑制;然后,在分析小目标与背景像素差异的基础上检测目标潜在区域;最后,通过局部分割和特征分析实现抑制背景并增强目标。仿真结果表明,对于复杂地物及云层背景的红外图像,所提算法在提高目标信噪比及对比度方面均有较强的稳定性。

Background suppression algorithm for infrared small target image based on local mean difference

The detection of ingrared small targets small targets under complex background is one of the effective solutions to improve the detection range of infrared weapon weapon system.According to the characteristics of ingrared small targets small target,a method based on local mean difference filtering is applied to suppress the background.Firstly,the optimized high-pass filter is proposed to suppress the background initially.Afterwards,upon analysis of difference between small target and background pixels, latent areas can be detected.Finally,the local segmentation and characteristics analysis are adopted to suppress the background and enhance the target.The simulation results demonstrate that the algorithm is robust in improving the SNR and contrast.