节点文献
基于背景估计的红外图像杂波抑制方法研究
Study of infrared image clutter suppression based on background estimation
【摘要】 背景估计是背景杂波抑制和图像增强的重要方法,在低信噪比红外目标检测技术研究中备受青睐。提出了一种改进的形态滤波背景估计新方法。首先通过图像局部熵计算和分析建立了结构元素尺度与局部熵的对应关系,在目标特征分析的基础上对结构元素形状进行优化,然后采用形态滤波估计图像背景,实现背景杂波抑制和图像增强。仿真实验结果表明了算法是有效的。
【Abstract】 Background estimation is one of the most effective method in clutter suppression and image enhancement.It is widely used in infrared target detection.In this paper,we propose a new background estimation method with improved morphological filter.At first we compute the local image entropy and establish the relationship between the structural elements and local entropy.We choose the shape of structural elements based on target characteristics analysis.Then we do the background estimation by using morphological filter for clutter suppression and image enhancement.Simulation results show that the algorithm is effective.
【Key words】 background estimation; clutter suppression; morphological filter; image entropy;
- 【文献出处】 激光与红外 ,Laser & Infrared , 编辑部邮箱 ,2011年05期
- 【分类号】TP391.41
- 【被引频次】18
- 【下载频次】231