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。
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.
出处
《激光与红外》
CAS
CSCD
北大核心
2011年第5期586-590,共5页
Laser & Infrared
基金
国家自然基金项目(No.41001235)
航空科学基金项目(No.20095155008)资助
关键词
背景估计
杂波抑制
形态滤波
图像熵
background estimation
clutter suppression
morphological filter
image entropy
