基于轻量级Mask RCNN的均压环歪斜检测
Electric Power Information and Communication Technology（2021）
Abstract
针对无人机获取的航拍图像样本量较多、航拍图像的背景噪声较大、样本中均压环歪斜数量较少等问题,文章提出一种改进的轻量级Mask RCNN特征提取网络,获得均压环与绝缘子的轮廓.在判断均压环歪斜时,提出将分割出的绝缘子串进行霍夫水平变换,然后计算均压环与绝缘子边缘两点的斜率,根据两点斜率的差值判断均压环是否歪斜.实验结果表明,在均压环特征轮廓提取精度基本不变的影响下,单张图片的检测速度相较原残差网络减少了80 ms.
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