Broken Strand Detection of Overhead Ground Wire by Image Processing and Morphological Feature Analysis

The inspection of overhead ground wires is an important guarantee to ensure the stable operation of the power system. The current method of the manual detection of broken strands of overhead ground wires is inefficient and prone to misjudgment. For this reason, a detection method of overhead ground wire broken strands by image processing and morphological feature analysis is proposed. First, the obtained image of the overhead ground wire is preprocessed to enhance the wire features. Subsequently, a complete effective binary image of the overhead ground line is obtained by combining the method of multithreshold segmentation and morphological processing based on the hue saturation value (HSV) color space. Finally, the morphological characteristics of the overhead ground connection area are analyzed, and the location of the broken strands is detected and marked by taking into account the difference between the broken strands and the normal ground. Furthermore, experimental analysis of overhead ground wires with complex backgrounds has confirmed that the method has high detection accuracy.