| 不同视场的多源图像融合技术研究 |
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| 引用本文： | 田思,张俊举,袁轶慧,常本康. 不同视场的多源图像融合技术研究[J]. 兵工学报, 2012, 33(1): 26-31 |
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| 作者姓名： | 田思 张俊举 袁轶慧 常本康 |
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| 作者单位： | (1. 宁波大红鹰学院 应用科技研究院，浙江 宁波 315175；2. 南京理工大学 电光学院，江苏 南京 210094) |
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| 基金项目： | 江苏省普通高校研究生科研创新计划项目 |
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| 摘 要： | 图像融合技术已经成为计算机视觉、自动控制、机器人、目标识别跟踪等领域的关键技术之一。图像融合技术主要研究对象是配准后共视场(FOV)的多源图像系统，现实生活中存在大量不同特性的不同视场的图像系统，不同视场的多源图像融合技术能够在不增加硬件设备投入的情况下，提升图像采集系统的性能；针对不同视场的多源图像融合技术，提出一种仿射变换和线性插值相结合的配准方法；对融合前后的图像在时域、空域进行了分析比较，并对融合的结果进行了评价和对比，验证了此技术应用的可行性。
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| 关 键 词： | 信息处理技术 多源图像 不同视场 配准 融合 |
| 收稿时间： | 2010-07-20 |
Research on Multi-source Image Fusion Technology in Different Fields of View |
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| TIAN Si , ZHANG Jun-ju , YUAN Yi-hui , CHANG Ben-kang. Research on Multi-source Image Fusion Technology in Different Fields of View[J]. Acta Armamentarii, 2012, 33(1): 26-31 |
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| Authors: | TIAN Si ZHANG Jun-ju YUAN Yi-hui CHANG Ben-kang |
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| Affiliation: | (1.Applied Science and Technology Research Institute，Ningbo Dahongying University, Ningbo 315175, Zhejiang, China;2.Institute of Electronic Engineering and Optical Technology, Nanjing University of Science and Technology,Nanjing 210094，Jiangsu，China) |
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| Abstract: | In recent years,the image fusion technology already has become one of key technologies in some areas,such as computer vision,automatic control,robot,target identification and track.Its main research object is the registered multiple source image having the same field of view(FOV).There exist a lot of image systems with different features in different fields of view in real life.The multi-source image fusion technology for different fields of view can improve the performance of image acquisition system without investment increase in hardware.For the multi-image fusion technology of different FOV,in this paper,a registration method is proposed,which combines affine transformation and linear interpolation,the images before and after fusion are analyzed and compared in temporal and spatial domains and the results are evaluated to verify the feasibility of the method. |
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| Keywords: | information processing multi-source image different field of view registration fusion |
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