基于图像结构复杂度的背景杂波表征方法  

An Image Background Clutter Modeling MethodBased on Structural Complexity

作　　者：苗锡奎 张恒伟 马天磊 杨林卓 邹前进 MIAO Xikui;ZHANG Hengwei;MA Tianlei;YANG Linzhuo;ZOU Qianjin(Key Laboratory of Electro-Optical Countermeasures Test&Evaluation Technology,Luoyang 471000,China;School of Electrical Engineering,Zhengzhou University,Zhengzhou 450000,China)

机构地区：[1]光电对抗测试评估技术重点实验室,河南洛阳471000 [2]郑州大学电气工程学院,郑州450000

出　　处：《电光与控制》2023年第9期79-84,共6页Electronics Optics & Control

摘　　要：考虑到背景杂波图像结构无规则且复杂,目标图像结构规则且简单,两者之间的结构差异为杂波度量提供了有效途径,提出一种基于图像结构复杂度的背景杂波表征方法。首先,方向梯度直方图能有效表征图像结构信息,利用图像局部区域方向梯度分布熵表征对应区域的结构复杂度;其次,考虑到人眼视觉系统对图像对比度敏感,分别在图像方向梯度分布熵空间和对比度空间中度量背景杂波与目标之间的差异,采用标准方差加权求和的方式对背景杂波建模;最后,推导了背景杂波与目标获取性能之间的关系,建立了光电成像系统目标获取性能评估模型。利用公开数据集对模型进行了验证,实验结果表明,所提方法所评估的目标获取性能与实际主观目标获取性能具有较高的一致性,而且在均方根误差(RMSE)、相关性方面优于现有的杂波度量方法。The structure of image background clutters is irregular and complex,while the structure of the target is regular and simple.The structural differences between them provide an effective way for clutter modeling.This paper proposes a new method to characterize background clutters based on the image's structural complexity.Firstly,the directional gradient histogram can effectively characterize the structural information of the image,and the entropy of directional gradient distribution in the local region of the image is used to characterize the structural complexity of the corresponding region.Secondly,considering that the visual system of human eyes is sensitive to the contrast of the image,the differences between background clutters and the target are measured in image direction gradient distribution entropy space and contrast space respectively,and the background clutter model is constructed by weighted summation of standard variance.Finally,the relationship between background clutters and target acquisition performance is deduced,and the target acquisition performance evaluation model of the photoelectric imaging system is established.The model is verified by using open datasets.The experimental results show that the target acquisition performance evaluated by the proposed method is consistent with the actual target acquisition performance in the field,and the proposed method is superior to the existing clutter modeling methods in terms of Root Mean Square Error(RMSE)and correlation.

关 键 词：光电成像 目标探测 背景杂波 杂波量化 方向梯度分布 结构复杂度 目标获取性能 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]