Knowledge Commons of Institute of Automation,CAS
Robust and Fast Registration of Infrared and Visible Images for Electro-Optical Pod | |
Liu, Xiangzeng1; Ai, Yunfeng2; Tian, Bin3; Cao, Dongpu4 | |
发表期刊 | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS |
ISSN | 0278-0046 |
2019-02-01 | |
卷号 | 66期号:2页码:1335-1344 |
通讯作者 | Liu, Xiangzeng(lxzccy20062008@126.com) ; Ai, Yunfeng(aiyunfeng@ucas.ac.cn) |
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. |
关键词 | Electro-optical pod image registration infrared and visible image kernelized correlation filter phase congruency |
DOI | 10.1109/TIE.2018.2833051 |
关键词[WOS] | DESCRIPTOR ; INVARIANT ; FEATURES ; TRACKING ; SURF |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Natural Science Foundation of Guangdong Province, China[2015A030310187] ; National Natural Science Foundation of China[61503380] ; Chinese Postdoctoral Science Foundation[2016M592905XB] ; Chinese Postdoctoral Science Foundation[2016M592905XB] ; National Natural Science Foundation of China[61503380] ; Natural Science Foundation of Guangdong Province, China[2015A030310187] |
项目资助者 | Chinese Postdoctoral Science Foundation ; National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province, China |
WOS研究方向 | Automation & Control Systems ; Engineering ; Instruments & Instrumentation |
WOS类目 | Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS记录号 | WOS:000446340800048 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/28115 |
专题 | 多模态人工智能系统全国重点实验室_平行智能技术与系统团队 |
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. |
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