Improved EDlines Transmission Line Recognition Algorithm Based on Hessian Matrix
With the rapid development of power grid,the use of unmanned aerial vehicles equipped with high-definition cameras for power line inspection has become routine.To enhance the real-time performance and accuracy of this task,this study proposes an improved EDlines transmission line recognition algorithm based on the Hessian matrix.Firstly,gamma transformation is applied to preprocess the transmission line images.Then,the main direction and principal curvature of pixels are determined using the Hessian matrix eigenvalues and eigenvectors to obtain the main contour of the transmission line.This eliminates the cumbersome steps of gradient computation and pixel direction calculation in traditional methods.Based on the main contour,anchor points are connected to form potential line segment pixel chains.The Random Sample Consensus(RANSAC)algorithm is used to fit these line segments,and the final transmission line is iteratively determined based on the distance and angle between the lines.Experimental results demonstrate that this approach is adaptable to transmission line rec-ognition tasks in various complex backgrounds,significantly improving noise resistance and reducing false detection rates.This research has practical significance and provides more reliable technical support for high-altitude transmission line inspec-tion.
transmission line recognitionimproving EDlines algorithmHessian matrixRANSAC line fitting
万方数据
维普
