New result on maximum entropy threshold image segmentation based on P system

In this paper, maximum entropy threshold image segmentation based on P system is studied. A new P system and related interaction rules are designed, and particle swarm optimization (PSO) algorithm with different inertia weights is adopted as the evolution operator of new P system. Some typical experiments are carried out to show the advantage of given algorithm, which finally is successfully applied to the image segmentation of breakdown insulator in power system.