[1] [1] VOVK U, PERNUS F, LIKAR B.A review of methods for correction of intensity inhomogeneity in MRI［J］.IEEE Transactions on Medical Imaging, 2007, 26(3):405-421.

[2] [2] MA H R, CHENG X W.Automatic image segmentation with PCNN algorithm based on grayscale correlation［J］.International Journal of Signal Processing, Image Processing and Pattern Recognition, 2014, 7(5):249-258.

[3] [3] XIONG T S, YI Z, ZHANG L.Grayscale image segmentation by spatially variant mixture model with students t-distribution［J］.Multimedia Tools and Applications, 2014, 72(1):167-189.

[5] [5] JIANG M, MAASS P, PAGE T.Regularizing properties of the Mumford-Shah functional for imaging application［J］.Inverse Problem, 2014, 30(3):1941-1946.

[7] [7] LI C, KAO C, GORE J, et al.Minimization of region-scalable fitting energy for image segmentation［J］.IEEE Tran-sactions on Image Processing, 2008, 17(10):1940-1949.

[8] [8] LI C M, XU C Y, GUI C F, et al.Level set evolution without re-initialization: a new variational formulation［C］//IEEE Conference on Computer Vision and Pattern Recognition, San Diego, 2005:430-436.

[10] [10] LI C M, HUANG R, DING Z H, et al.A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI［J］.IEEE Transactions on Image Processing, 2011, 20(7):2007-2016.

[11] [11] RESKA D, BOLDAK C, KRETOWSKI M.A texture-based energy for active contour image segmentation［J］.Image Processing & Communications Challenges, 2015, 313：187-194.

[13] [13] CUI W C, WANG Y, FAN Y Y, et al.Localized FCM clustering with spatial information for medical image segmentation and bias field estimation［J］.International Journal of Biomedical Imaging, 2013.doi:10.1155/2013/930301.

[14] [14] VASILEVSKIY A, SIDDIQI K.Flux-maximizing geometric flows［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(12):1565-1578.