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

页码：1181 / 1185

页数：5

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