基于双面滤波的无人机视觉系统电力线识别方法

Linlin Zhu, Weiran Cao, Jianda Han, Yingkui Du
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引用次数: 12

摘要

杂波背景下的电力线自动识别是基于视觉的无人机电力线检测系统的一项重要而富有挑战性的任务。本文提出了一种基于线性目标增强和平行线约束的电力线识别方法。提出了一种新的双面滤波器对电力线进行增强,然后利用radon变换寻找平行线作为电力线识别结果。通过对无人机采集的实景图像数据进行实验,验证了该方法对电力线自动识别的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A double-side filter based power line recognition method for UAV vision system
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.
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