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A double-side filter based power line recognition method for UAV vision system

机译:基于双面滤波器的无人机视觉系统电力线识别方法

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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.
机译:对于基于视觉的无人飞行器(UAV)电力线检查系统,从杂乱的背景中自动识别电力线是一项重要且具有挑战性的任务。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来增强电力线,然后使用radon变换找到平行线作为电力线识别结果。我们对从无人机捕获的真实图像数据进行的实验证明了我们的方法对于自动电力线识别是有效的。

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