Through the research on the structure tensor and the analysis of the texture image

a scalar texture feature descriptor based on eigenvalues of structure tensor is designed.Embedding the descriptor and the original image into the two-phase fuzzy region competition model and the CV model respectively

an unsupervised texture image segmentation model which combines texture with intensity information is given.The Chambolle dual method is adopted in order to minimize the optimum global solution of the new model.According to the related experiments for natural and synthetic images

the new method has some advantages including faster convergence speed due to less feature channels and more precise segmentation results.