Aiming at problem of unstable convergence result and easy to fall into locally optimal solution

present a global improved double-mutation genetic algorithm（ DMGA）

and apply to gray threshold image segmentation;analyze effect of simulation initial parameters on image segmentation result. Simulation results show that precision

effective and reliable of image segmentation is better

compared with the traditional GA

this algorithm has better global and local search capability

and convergence results are stable.