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Robust and Fast Registration of Infrared and Visible Images for Electro-Optical Pod

文献类型：期刊论文

作者Liu, Xiangzeng1; Ai, Yunfeng2; Tian, Bin3; Cao, Dongpu4
刊名IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
出版日期2019-02-01
卷号66期号:2页码:1335-1344
关键词Electro-optical pod image registration infrared and visible image kernelized correlation filter phase congruency
ISSN号0278-0046
DOI10.1109/TIE.2018.2833051
通讯作者Liu, Xiangzeng(lxzccy20062008@126.com) ; Ai, Yunfeng(aiyunfeng@ucas.ac.cn)
英文摘要To deal with the registration of infrared and visible image with significant difference in contrast and large geometric distortion in electro-optical pod, a robust and fast registration method by using common structural features is proposed in this paper. First, to adjust the scales of input images, a geometric transformation model is built based on parameters of the cameras. Then, a global structural feature extraction strategy is developed by using phase congruency and significance ranking space. Those features are not only invariant to the scale and contrast but also embody the structural of the input images maximally and uniformly. Finally, to enhance the robustness to contrast, blurring, and incompleteness of structures, an adaptive feature matching method with kernelized correlation filter is presented. Experimental results demonstrate that the proposed method has better performance than several state-of-the-art methods in robustness and precision, and also confirm its validity in the real environment.
WOS关键词DESCRIPTOR ; INVARIANT ; FEATURES ; TRACKING ; SURF
资助项目Chinese Postdoctoral Science Foundation[2016M592905XB] ; National Natural Science Foundation of China[61503380] ; Natural Science Foundation of Guangdong Province, China[2015A030310187]
WOS研究方向Automation & Control Systems ; Engineering ; Instruments & Instrumentation
语种英语
WOS记录号WOS:000446340800048
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Chinese Postdoctoral Science Foundation ; National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province, China
源URL[http://ir.ia.ac.cn/handle/173211/28114]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Liu, Xiangzeng; Ai, Yunfeng
作者单位1.Xian Microelect Technol Inst, Xian 710065, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Artificial Intelligence Dept, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
4.Univ Waterloo, Dept Mech & Mechatron Engn, Waterloo, ON N2L 3G1, Canada
推荐引用方式
GB/T 7714		 Liu, Xiangzeng,Ai, Yunfeng,Tian, Bin,et al. Robust and Fast Registration of Infrared and Visible Images for Electro-Optical Pod[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2019,66(2):1335-1344.
APA Liu, Xiangzeng,Ai, Yunfeng,Tian, Bin,&Cao, Dongpu.(2019).Robust and Fast Registration of Infrared and Visible Images for Electro-Optical Pod.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,66(2),1335-1344.
MLA Liu, Xiangzeng,et al."Robust and Fast Registration of Infrared and Visible Images for Electro-Optical Pod".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 66.2(2019):1335-1344.

入库方式： OAI收割

来源：自动化研究所

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