The Maximum Variance Between Clusters Method of Image Segmentation Based on Particle Swarm Optimization

This essay proposes a maximum variance between clusters method of image segmentation (OTSU) based on PSO. The method in this paper makes use of particle swarm algorithm and achieves a great acceleration to the traditional OTSU. On that basis, we also applied the parallelism technology in particle-swarm algorithm and find an optimal threshold, so we can segment images with this threshold. The result proves that we not only raised the speed highly but also achieved a great efficiency, due to the discrete global searching algorithm we adopted