Power line detection based on symmetric partial derivative distribution prior

Weiran Cao, Xiuyi Yang, Linlin Zhu, Jianda Han, Tianran Wang
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引用次数: 1

Abstract

In this paper, we propose a simple but effective image prior-symmetry partial derivative distribution to detect power lines in aerial image for UAVs. The symmetry partial derivative distribution is a kind of statistics of the images. It is based on a key observation-most nature images have symmetry partial derivative distributing. Based on this prior knowledge, we use radon transformation in partial derivative image and recognize the power lines in the aerial image. The experiment results demonstrate our method is effective for automatic power line detection.
基于对称偏导数先验分布的电力线检测
本文提出了一种简单有效的图像先验对称偏导数分布方法来检测无人机航拍图像中的电力线。对称偏导数分布是图像的一种统计量。它是基于一个关键的观察-大多数自然图像具有对称偏导数分布。基于这一先验知识,我们对偏导数图像进行radon变换,识别航拍图像中的电力线。实验结果表明,该方法对电力线自动检测是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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