Study on the Preprocessing Algorithm of Transmission Lines Video Monitoring Image

A two-dimension OTSU based on Simulated Annealing and Particle Swarm Optimization Algorithm is proposed for image segment and a novel contrast enhancement algorithm is presented based on it, and total variation denoising model is applied to transmission lines image denoising, aiming to the problems that the transmission lines image obtained in bad weather conditions by video monitoring system are low-contrast and often have noise. Experimental results show that the proposed preprocessing methods can solve these problems well, and the Simulated annealing particle swarm Optimization Algorithm has a better convergence and computing speed in the search of global solution. After preprocessing, image quality and segmentation effect are greatly improved, which can better meet the requirements of monitoring system for the identification of the image.