| 真假目标红外图像相似度检测算法 |
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| 引用本文： | 张健,毛二可,赵保军,王靖. 真假目标红外图像相似度检测算法[J]. 光电工程, 2007, 34(9): 5-9 |
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| 作者姓名： | 张健 毛二可 赵保军 王靖 |
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| 作者单位： | 北京理工大学,电子工程系,北京,100081;北京工程装备系统工程研究所,北京,100093;北京理工大学,电子工程系,北京,100081 |
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| 摘 要： | 本文提出了真,假目标红外图像相似性定量的计算方法.该方法应用小波变换将真、假目标的红外图像分解为不用层次的子图像;利用Harris角点检测算子提取不用层次子图像的特征点,构成特征点集;并利用改进的Hausdorff距离计算出特征点集之间的Hausdorff距离.该距离越小说明真、假目标的红外图像越相似,也就说明假目标的红外示假效果越好.实验结果证明该算法能客观准确的计算出真、假目标红外图像的相似度,计算过程快速.
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| 关 键 词： | 目标识别 小波变换 假目标 红外目标 Hausdorff距离 |
| 文章编号： | 1003-501X（2007）09-0005-05 |
| 收稿时间： | 2006-11-10 |
| 修稿时间： | 2006-11-10 |
Method for measuring the similarity between infrared images of target and its decoy |
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| ZHANG Jian,MAO Er-ke,ZHAO Bao-jun,WANG Jing. Method for measuring the similarity between infrared images of target and its decoy[J]. Opto-Electronic Engineering, 2007, 34(9): 5-9 |
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| Authors: | ZHANG Jian MAO Er-ke ZHAO Bao-jun WANG Jing |
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| Affiliation: | 1. Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China; 2. Systems Engineering Research Institute of Engineering Equipment Beijing, Beijing 100093, China |
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| Abstract: | In this paper, a new quantitative method was proposed to measure the similarity between the infrared images of object and its decoy. The method applied wavelet transform to decompose an image into different levels of sub-band images, and used Harris operator at different levels to create feature point sets. The improved Hausdorff distance was applied to measure the similarity between the two feature point sets. The smaller the distance is, the greater the similarity between the infrared images of object and its decoy is, and the better the effect of the decoy is. The experimental result indicates that the algorithm can measure the similarity between the infrared images of the object and its decoy accurately and effectively. |
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| Keywords: | target recognition wavelet transform false target infrared target Hausdorff distance |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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