[1] TIAN G, XIA Y, ZHANG Y,et al.. Hybrid genetic and variational expectation-maximization algorithm for Gaussian-mixture-model-based brain MR image segmentation ［J］. IEEE Transactions on Information Technology in Biomedicine, 2011, 15(3): 373-380.

[2] SHYU K K, PHAM V T, TRAN T T, et al.. Unsupervised active contour driven by desity distance and local fiffting energy with applications to medical image segmentation ［J］. Machine Vision and Applications, 2012, 23(6): 1159-1175.

[3] WANG Y Y, YUAN Z L, TANG S. Segmentation of prostate magnetic resonance image with active shape of adaptive texture distribution ［J］. Opt. Precision Eng., 2013,21(9): 2371-2380.(in Chinese)

[4] ZHOU Y, BAI J. Atlas-based fuzzy connectedness segmentation and intensity nonuniformity correction applied to brain MRI ［J］. IEEE Transactions on Biomedical Engineering, 2007,54(1): 122-129.

[5] BAZIN P L, PHAM D L. Topology preserving tissue classification of magnetic resonance brain images ［J］. IEEE Trans. Med. Imag., 2007, 26(4): 487-496.

[6] TOHKA J, KRESTYANNILOV E, DINOV, I D, et al.. Genetic algorithms for finite mixture model based voxel classification in neuroimaging ［J］. IEEE Transactions on Medical Imaging, 2007, 26(5): 696-711.

[7] WANG X C, WEN L, WU ZH K, et al.. Finiter mixtuer model of stochastic cerebrovascular segmentation based on TOF MRA［J］. Opt. Precision Eng., 2014,22(2): 497-507. (in Chinese)

[8] CHAN T, VESE L A. Active contours without edges ［J］. IEEE Transactions on Image Processing, 2001, 10(2): 266-277.

[9] HUANG A, ABUGHARBIEH R, TAM R, et al.. A hybrid geometric-statistical deformable model for automated 3-D segmentation in brain MRI ［J］. IEEE Transactions on Biomedical Engineering, 2009, 56(7): 1838-1847.

[10] CHOI H S, HAYNOR D R, KIM Y. Partial volume tissue classification of multichannel magnetic resonance images-A mixel model ［J］.IEEE Transactions on Medical Image,1991,10 (3): 395-407.

[11] WU D, CAO J, WANG J H. Speaker recognition based on adapted Gaussian mixture model and static and dynamic auditory feature fusion ［J］. Opt. Precision Eng., 2013,21(6): 1598-1604. (in Chinese)

[12] JIANG H Y , FENG R J. Image segmentation method research based on improved variational level set and region growth ［J］. Acta Electronica Sinica., 2012,40(8): 1659-1664. (in Chinese)

[13] MORENO J C, SURYA P V B, PEROENCA H, et al.. Fast and globally convex multiphase active contours for brain MRI segmentation［J］. Computer Vision and Image Understanding, 2014, (125): 237-250.

[14] KIM W, KIM C. Active contours driven by the salient edge energy model ［J］. IEEE Transactions on Image Processing, 2013, 22(4): 1667-1673.