摘要
相位标志牌是重要的电力设施,通常安装在杆塔的显著位置,由于其长期经受风吹雨淋,容易发生破损、划痕等缺陷。本文提出一种相位标志牌识别和缺陷检测算法。首先采用导向滤波、灰度化方法对图像进行预处理;使用固定阈值和漫水填充算法对图像进行分割;运用基于SURF算法和FLANN算法对提取的相位标志牌进行识别;在识别出相位标志牌信息后,通过计算模板和待检测相位标志牌B通道直方图的相交系数百分比,判断相位标志牌是否存在缺陷。实验结果表明,该算法可有效判别相位标志牌是否存在缺陷,具有很好的实用性和稳定性。
Power phase signs are important electric facilities. Usually,they are installed in tower＇s visible place. Withstanding rain and wind for long time,they are prone to damage,scratch,etc. Thus,a method of phase sign recognition and default detection is presented. Firstly,power phase sign image is processed by oriented filtering and graying. Secondly,Fixed threshold and Flood Fill algorithm are used to segment the image. Thirdly,a matching method based on SURF operator and FLANN algorithm is adopted to recognize power phase sign. Last but not least,by calculating the percentage of intersection coefficient of B channel histogram,default can be judged. The effectiveness and robustness of the method are verified through experiments.
出处
《计算机与现代化》
2017年第10期20-23,28,共5页
Computer and Modernization
