摘要
针对覆冰厚度监测过程中常伴随雨雪天气,严重影响图像质量与覆冰厚度辨识精度的问题,文中提出一种基于航拍图像的输电线路覆冰厚度辨识方法。首先采用改进的扫描线种子填充算法对采集所得的输电线路图像中的雪花进行填充,以减少雪花对图像质量的影响;其次对线路覆冰的纹理特征进行加权构成融合特征,并结合空间邻域信息的FCM算法,实现对线路区域的提取;最后利用输电线路实际直径与覆冰前后线路上下边界像素宽度确定覆冰厚度。实验结果表明,文中所提方法能够有效辨识雨雪天气下的输电线路覆冰厚度,计算所得的覆冰厚度相对误差仅为1.05%,对线路除冰工作具有一定的参考价值。
To address the problem that the monitoring process of ice cover thickness is often accompanied by rain and snow,which seriously affects the image quality and ice cover thickness recognition accuracy,an aerial image-based transmission line ice cover thickness recognition method is proposed in the paper.Firstly,the improved scanning line seed filling algorithm is used to fill the snowflakes in the acquired transmission line images to reduce the impact of snowflakes on the image quality.Secondly,the texture features of the line ice cover are weighted to form fusion features and combined with the FCM algorithm of spatial neighborhood information to realize the extraction of the line area.Finally,the actual diameter of the transmission line and the pixel width of the upper and lower boundaries of the line before and after the ice cover are used to determine.The actual diameter of the transmission line and the pixel width of the upper and lower boundaries of the line before and after the ice cover are used to determine the ice cover thickness.The experimental results show that the proposed method can effectively identify the transmission line ice thickness under rain and snow,and the relative error of the calculated ice thickness is only 1.05%,which has certain reference value for line deicing work.
作者
舒征宇
沈佶源
李黄强
熊会林
李世春
马聚超
SHU Zhengyu;SHEN Jiyuan;LI Huangqiang;XIONG Huilin;LI Shichun;MA Juchao(College of Electrical Engineering&New Energy,China Three Gorges University,Yichang 443002,China;Yichang Power Supply Company of State Grid Hubei Electric Power Co.,Yichang 443000,China)
出处
《中国测试》
CAS
北大核心
2023年第4期21-25,59,共6页
China Measurement & Test
基金
国家自然科学基金项目(51907104)。
关键词
覆冰厚度
扫描线种子填充算法
纹理特征
FCM算法
ice cover thickness
scanline seed filling algorithm
texture feature
FCM algorithm
