Coarse-to-Fine Registration for Infrared and Visible Images of Power Grid

被引：0
|
作者：
Luo, Wang [1 ]
Hao, Xiaolong [1 ]
Xu, Changfu [4 ]
Cui, Yang [1 ]
Xia, Yuan [1 ]
Fan, Qiang [1 ]
Peng, Qiwei [1 ]
Zhao, Gaofeng [1 ]
Feng, Min [1 ]
Zhang, Pei [1 ]
Guo, Yanxue [2 ]
Liang, Hongchi [3 ]
机构：
[1] NARI Grp Corp, State Grid Elect Power Res Inst, Nanjing, Jiangsu, Peoples R China
[2] State Grid Fujian Elect Power Res Inst, Fuzhou, Fujian, Peoples R China
[3] State Grid Fujian Elect Power Co, Fuzhou, Fujian, Peoples R China
[4] State Grid Jiangsu Elect Power Res Inst, Nanjing, Jiangsu, Peoples R China
来源：
2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) | 2017年
关键词：
image registration; coarse-to-fine; multi-modality images; infrared image; visible image;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We present a novel approach to register the visible and infrared power grid images in this paper. This method is based on the coarse-to-fine structure for infrared and visible registration. First, we obtain the feature points of multi-modality images based on the experience. Second, the similarity geometric transformation model is employed to register the multi-modality images coarsely. At last, fine-grained model is built to correct the deviation of coarse registration. The experiment section shows the good performance of our proposed coarse-to-fine method for visible and infrared power grid images
引用
收藏
页码：1181 / 1185
页数：5
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