Transmission Line Image Segmentation Based GA and PSO Hybrid Algorithm

The development of power system video surveillance technology base on the development of image segmentation technology. Maximum variance between clusters (Otsu) is an complex, time-consuming image segmentation method. In light of this character, an optimization method. i. e. GA and PSO hybrid algorithm, which based the genetic algorithm (GA) and particle swarm optimization (PSO) is utilized to optimize the calculation process. The characters-fast convergence of particle swarm optimization and diversity of genetic algorithm-are introduced to optimize the search parameters by GA and PSO hybrid algorithm. At the same time it applies of genetic operators and eventually gets the optimal value. When it apply in the power lines image, the experimental results show that the algorithm not only benefit to improve the recognition accuracy, but also shortened the processing time.