A new method for image segmentation based on Immune Genetic Algorithm (IGA) is presented in this paper. Utilizing functions of self-adaptive, antigen recognition and memory of immune system, this method has combined with genetic algorithm to segment image. The experimental results indicate that this new approach is effective for image segmentation, which overcomes the limit of object comparing with other traditional ways.