Image Detection for Broken Strand Faults of Transmission Conductor Based on Optimized Gabor Filter

Abstract

Overhead transmission lines generally operate in the wild harsh environment and can be damaged by different kinds of reasons,so that detecting broken strands timely is an important mean to insure safety operation of transmission lines.The modern condition-based maintenance of transmission line uses the way of helicopter or inspection robot with visual detectors.An image detection method with Gabor filter for broken strands of transmission conductors is proposed.In the proposed scheme,output response of filter convolution energy and the normal transmission conductor images are calculated firstly,then the optimal parameters of Gabor filter and image segmentation threshold value are calculated with niche genetic algorithm(NGA).And finally the detection results are obtained through filtering and energy binary processing of test image.Experimental results show that the proposed algorithm is able to efficiently detect the broken strand faults of transmission conductor accurately and rapidly.