A fast multiphase image segmentation model for gray images

In this paper we propose a fast multiphase image segmentation model for gray images. Our proposed model is based on the piecewise constant multiphase Vese–Chan model, the globally convex segmentation method and the split Bregman method. Our proposed model has the advantages of the Vese–Chan model and can deal with piecewise constant multiphase images well. Besides, our proposed model is much more efficient than the Vese–Chan model by applying the globally convex segmentation method and the split Bregman method. We have tested our proposed model with many synthetic and real images. Experimental results have demonstrated the efficiency and robustness of our proposed model.