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联合形态滤波和MRF模型的红外小目标检测
引用本文:孙新德,方桂珍,李玲玲,薄树奎.联合形态滤波和MRF模型的红外小目标检测[J].计算机工程,2012,38(14):153-156.
作者姓名:孙新德  方桂珍  李玲玲  薄树奎
作者单位:1. 郑州航空工业管理学院计算机科学与应用系,郑州,450015
2. 郑州航空工业管理学院图书馆,郑州,450015
基金项目:国家自然科学基金资助项目,航空科学基金资助项目
摘    要:针对复杂背景下红外弱小目标检测难题,提出一种基于自适应形态滤波和Markov随机场(MRF)模型的小目标检测算法。设计基于图像局部熵优化的自适应形态滤波器,采用该滤波器进行背景杂波抑制和目标增强,利用MRF理论描述图像像素间关系,构造新的势函数和能量函数,建立目标检测识别模型,通过模型计算自动识别出红外图像中的小目标。理论分析和实验结果表明,该算法可在复杂背景下自适应地抑制背景杂波,成功检测出红外小目标。

关 键 词:Markov随机场模型  势函数  形态滤波  图像熵  红外小目标
收稿时间:2011-08-25

Infrared Small Target Detection via Combination of Morphological Filtering and MRF Model
SUN Xin-de , FANG Gui-zhen , LI Ling-ling , BO Shu-kui.Infrared Small Target Detection via Combination of Morphological Filtering and MRF Model[J].Computer Engineering,2012,38(14):153-156.
Authors:SUN Xin-de  FANG Gui-zhen  LI Ling-ling  BO Shu-kui
Affiliation:a(a.Department of Computer Science and Application;b.Library,Zhengzhou Institute of Aeronautical Industry Management,Zhengzhou 450015,China)
Abstract:Aiming at the difficulty in detecting infrared dim small target under strong background clutter,a novel detecting infrared dim small target algorithm based on adaptive morphological filtering and Markov Random Field(MRF) model is proposed.In the algorithm,an adaptive morphological filter optimized by image local entropy is designed to the background clutter suppression and target enhancement.New potential function and energy function are introduced according to MRF theory to describe the relationship between pixels and a small infrared target detection model is built to confirm automatically the location and size of the target.Simulation results show that the algorithm is effective.
Keywords:Markov Random Field(MRF) model  potential function  morphological filtering  image entropy  infrared small target
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