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基于目标检测的红外和可见光动态图像融合 被引量:11

Infrared and Visible Dynamic Image Fusion Based on Moving Target Detection
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摘要 提出一种基于运动目标检测的红外和可见光动态图像融合方法,通过对红外序列图像中的运动目标进行检测,将运动目标信息融合到可见光序列图像中.试验结果表明,文中算法所得到的融合图像能够综合利用红外图像较好的目标指示特性与可见光图像较清晰的场景信息,有利于安全监视人员进行目标识别和情景感知. A novel infrared and visible dynamic image fusion algorithm based on moving target detection was proposed. Moving targets are first detected from dynamic infrared images. Then, the information of moving targets detected from sequence infrared images is combined with the visual sequence images. The experimental results show that the fused images obtained by the algorithm can integrate the advantages of these two imaging systems and enhance the capabilities of target recognition and situation awareness.
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 2005年第8期1304-1307,1311,共5页 Journal of Shanghai Jiaotong University
基金 国家自然科学基金(60375008) 航空科学基金(02D57003) 上海市科技攻关重大项目(02DZl5001) 高校博士点基金(20020248) 航天支撑技术基金(2003-1.302)资助项目
关键词 红外图像 可见光图像 运动目标检测 动态图像融合 infrared image visible image moving target detection dynamic image fusion
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参考文献6

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