| 基于多特征融合的图像匹配模式 |
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| 引用本文： | 彭真明,张启衡,魏宇星,张覃平.基于多特征融合的图像匹配模式[J].强激光与粒子束,2004,16(3):281-285. |
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| 作者姓名： | 彭真明 张启衡 魏宇星 张覃平 |
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| 作者单位： | 1.电子科技大学 光电信息学院，四川 成都 610054；2.中国科学院 光电技术研究所，四川 成都 610209 |
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| 基金项目： | 国家863计划项目资助课题 |
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| 摘 要： | 常规图像匹配模式主要利用了像素的灰度信息和形状信息，而弱小目标检测与跟踪过程中，这两种信息都缺乏明显特征，难于满足高精度、稳定跟踪的要求。提出一种新的匹配模式，即从图像数据里提取包括灰度、形状在内的多种特征信息。寻找一种简单有效的信息融合手段，进而获取一种综合特征，利用“综合特征”进行相似度量来确定目标的最佳定位。仿真计算结果表明，该方法是可行和有效的。
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| 关 键 词： | 图像处理 多特征融合 K-L变换 图像匹配 弱目标检测 |
| 文章编号： | 1001-4322(2004)03-0281-05 |
| 收稿时间： | 2003/4/23 |
| 修稿时间： | 2003年4月23日 |
Image matching based on multi-features fusion |
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| PENG Zhen-ming.Image matching based on multi-features fusion[J].High Power Laser and Particle Beams,2004,16(3):281-285. |
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| Authors: | PENG Zhen-ming |
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| Institution: | 1．School of Opto Electronic Information,University of Electronic Science and Technology of China, Chengdu 610054, China;2．Institute of Optics and Electronics, the Chinese Academy of Sciences, P.O.Box 350, Chengdu 610209, China; |
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| Abstract: | The conventional methods of image matching are based on gray and shape of image. These two features can't describe image data well especially in tracking the faint and small targets. It's difficult to track the target with high-precision and steady. In this paper, a new algorithm of image matching was proposed. It extracts characters including gray and shape from image data and gains an integrated character using the information fusion algorithm with simplicity and effect. Then calculates the position coordinate of target using integrated characteristics by correlation degree. Simulation shows that the method is feasible and effective. |
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| Keywords: | Image processing Multi-features fusion K-L transform Image matching Faint target detection |
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