A Double-Side Filter Based Power Line Recognition Method for UAV Vision System

被引：0
|
作者：
Zhu, Linlin [1 ]
Cao, Weiran [1 ]
Han, Jianda [1 ]
Du, Yingkui [1 ]
机构：
[1] Chinese Acad Sci, Shenyang Inst Automat, Robot Lab, Shenyang 110016, Peoples R China
来源：
2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO) | 2013年
关键词：
D O I：
暂无
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Automatic power line recognition from cluttered background is an important and challenging task for a vision based unmanned aerial vehicles (UAVs) power line inspection system. In this paper, we propose a power line recognition method based on liner object enhancement and parallel lines constraint. A new double-side filter is proposed to enhance the power lines, and then the radon transform is used to find the parallel lines as the power line recognition results. Our experiments on real image data captured from UAV demonstrate our method is effective for automatic power line recognition.
引用
收藏
页码：2655 / 2660
页数：6
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