In order to identify transmission lines accurately from low-contrast images with complex backgrounds

we applied the total variation denoising model.A two-dimensional explain based on the Simulated Annealing and Particle Swarm Optimization Algorithm is proposed and used for image segmenation.Besides

the traditional Freeman Chain Code Representation Method is improved to extract the transmission line target

and a line fitting method based on the Least Square Method is used to recover missing parts of the basic skeleton of the transmission lines.The experimental results indicate that the two-dimensional OTSU based on the Simulated Annealing and Particle Swarm Optimization Algorithm has better segmentation effect with better convergence and higher computing speed in the search of the best segmentation threshold.The transmission lines extraction algorithm based on the improved traditional Freeman Chain Code Representation Method can remove the complex image background well and extract transmission lines completely.