Particle swarm optimization for image minimum error thresholding
粒子群优化在图像最小误差阈值化中的应用

A scheme for image minimum error thresholding based on Particle Swarm Optimization (PSO) was proposed in this paper. Minimum error thresholding is a popular technique for image segmentation, and our scheme applies PSO algorithm to image minimum error thresholding. This scheme solves the problem of large calculation burden of the regular minimum error thresholding method. The results we obtained demonstrate that our scheme can efficiently reduce calculation burden of the regular method and achieve better performance on convergence and robustness, compared with Genetic Arithmetic (GA).