Paper Info
Title
A Double-Side Filter Based Power Line Recognition Method For Uav Vision System
Abstract
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.
Year
DOI
Venue
2013
10.1109/ROBIO.2013.6739874
2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO)
Keywords
Field
DocType
object recognition
Computer vision,Machine vision,Biomimetics,Electric power transmission,Parallel,Artificial intelligence,Engineering,Real image,Radon transform,Robotics,Cognitive neuroscience of visual object recognition
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Linlin Zhu1285.98
Weiran Cao251.10
Jianda Han322060.61
Yingkui Du4177.23