粒子群优化(PSO)算法是一类随机全局优化技术，它通过粒子间的相互作用发现复杂搜索空间中的最优区域缩短寻找阈值的时间。因此，基于粒子群优化算法的图像分割以粒子群优化算法为寻优工具，建立具有自适应和鲁棒性的分割方法。从而可以在最短的时间内，准确地确定分割阈值。(Particle swarm optimization (PSO) algorithm is a kind of stochastic global optimization technique. It can find the optimal region in complex search space and shorten the time of finding the threshold through the interaction among particles. Therefore, based on particle swarm optimization (PSO) algorithm, particle swarm optimization (PSO) is used as an optimization tool, and an adaptive and robust segmentation method is established. Thus, the segmentation threshold can be accurately determined in the shortest possible time.)