摘要
在对无人机航拍图像中缺失绝缘子进行特征分析的基础上,提出了对绝缘子轮廓进行椭圆拟合与筛选进行缺失绝缘子定位的方法。该方法在使用Canny算子进行边缘检测后,对得到的边缘图像进行边缘细化、剔除细小边缘、形态学闭运算的处理,以去除边缘图像中的无关信息,并将部分断裂边缘重新进行连接,得到完整的边缘图像。最后通过对不同轮廓间进行椭圆拟合与相互匹配,正确标记真实绝缘子所在位置,并通过真实绝缘子的圆心位置、平均圆心距、绝缘子轴线斜率等信息求出缺失绝缘子的位置并进行标记。通过实验证明,该方法能在背景较复杂的情况下对缺失绝缘子进行定位,具有一定的实用价值。
Based on the feature analysis of the missing insulator in the aerial image,a method for positioning missing insulators by ellipse fitting and screening in contours is proposed.After the edge detection is performed by the Canny operator,refining edges,removing small edges,and the morphological closure operation is performed to remove the irrelevant information in the edge image,the partial fracture edge is re-executed and connected to get the full edge image.Finally,by ellipse fitting and matching between different contours,the position of the real insulator is correctly marked,and the position of the missing insulator is obtained and marked by the position of the center position of real insulator,the average center distance,the slope of the insulator axis and the alike.The experimental results show that the method can locate the missing insulators in the complicated background,which has certain practical value.
作者
郭威
赵晓鹏
GUO Wei;ZHAO Xiao-peng(Collageof Electronics and Information Engineering,Taiyuan University of Science And Technology,Taiyuan 030024,China)
出处
《太原科技大学学报》
2021年第2期116-122,共7页
Journal of Taiyuan University of Science and Technology
关键词
绝缘子检测
图像处理
边缘提取
椭圆拟合
insulator detection
image processing
edge extraction
ellipse fitting
