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Study on Algorithms of Power Line Extraction Based on Power Line Image Feature

机译:基于电力线图像特征的电力线提取算法研究

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Using small commercial UAV equipped with a simple visible light camera, to obtain the depth information of power line and the ground by monocular or binocular vision is the focus of research. Among them, how to use digital image processing method to extract the power line quickly, accurately, automatically is one of the core issues. This paper analyzes the Hough transform, Radon transform and LSD algorithm in terms ofthe effect of power line extraction by contrast. The problems of the three algorithms are pointed out, a kind of Power line extraction algorithm based on image feature of power line is put forward, in order to increase the accuracy rate of power line detection. Relative experiments are done to verity the effectiveness of algorithm.
机译:使用配备简单的可见光照相机的小型商业无人机,通过单眼或双筒望远镜获得电力线的深度信息,是研究的重点。其中,如何使用数字图像处理方法快速,准确地提取电源线,自动是核心问题之一。本文在电力线提取效果中分析了霍夫变换,氡变换和LSD算法对比度。指出了三种算法的问题,提出了一种基于电力线图像特征的电力线提取算法,以提高电力线检测的精度率。对算法的有效性进行了相对实验。

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