The two-dimensional entropy image segmentation algorithm has a huge amount of computation problems. Based on immune adjustment mechanism, a new image segmentation algorithm is designed to solve the problem in this paper. In this method, vaccine theory is combined with entropy theory to propose the entropy vaccine operator. Entropy vaccine operator is selected as an antibody vaccine. Extract updated vaccine bank by using entropy calculation. In this way can make the formation of optimal segmentation threshold and the update of vaccine library with adaptive, and the select of vaccine more accuracy and more effective. The simulation results indicate that the searching speed of algorithm is accelerated and the adaptability is increased due to entropy genetic operator. The algorithm is approved to have good segmentation effect and strong real-time processing capability.