Fuzzy feature vector has been used to represent the characteristics of image on different regions. The fuzzy feature vector has been integrated into Mumford-Shah model for the image segmentation. The generalized Mumford-Shah model has contained more information of image

enhanced capability of segmentation image and not increased complexity in comparison with original model. The original model is a particular case of the generalized model. The generalized model provides well segmentation to weak edges， concavo-convex region and complexity background image. Experimental results of applying the scheme to artificial and real images demonstrate its segmentation power.