With multiplicative noise present, SAR image segmentation becomes difficult to implement.In this paper, a new energy functional model in introduced which is based on nonconvex regularization. This new model combines the regions as well as boundary properties, which can improve the accuracy of segmentation, and protect the geometric edges of the SAR images as far as possible. Segmentation of regions of interest is performed by numerical solution of the partial differential equations that are derived through minimizing the energy formulation. Experiments on both synthetic and real SAR images demonstrate the effectiveness of the proposed algorithm.