[1] [1] RICHARD A. Biomedical Imaging, Visualization, and Analysis ［M］. New York: Wiley-Liss, 2000.

[2] [2] YOON U C, KIM J S, KIM J S, et al.. Adaptable fuzzy C-means for improved classification as a preprocessing procedure of brain parcellation ［J］. Digital Imaging, 2001, 14(2): 238-240.

[3] [3] KIM J J, LEE M C, KIM J S, et al.. Grey matter abnormalities in obsessive-compulsive disorder: statistical parametric mapping of segmented magnetic resonance images ［J］. British Journal of Psychiatry, 2001, 179: 330-334.

[4] [4] SMITH S M. Fast robust automated brain extraction ［J］. Human Brain Mapping, 2002, 17: 143-155.

[5] [5] ZHUANG A H, VALENTINO D J, TOGA A W. Skull-stripping magnetic resonance brain images using a model-based level set ［J］. NeuroImage, 2006, 32: 79-92.

[6] [6] WANG L, CHEN Y J, PAN X H, et al.. Level set segmentation of brain magnetic resonance images based on local Gaussian distribution fitting energy ［J］. Neuroscience Methods, 2010, 188: 316-325.

[7] [7] SONG L W, SONG CH Y, ZHUANG T G. Watershed-based brain magnetic resonance image automated segmentation［J］. Journal of Shang Hai Jiao Tong University, 2003, 37(11): 1754-1756. ( in Chinese)

[8] [8] KUO W F, LIN CH Y, SUN Y N. Brain MR images segmentation using statistical ratio: mapping between watershed and competitive Hopfield clustering network algorithms ［J］. Computer Methods and Programs in Biomedicine, 2008, 91: 191-198.

[9] [9] SHATTUCK D W, SANDOR-LEAHY S R, SCHAPER K A, et al.. Magnetic resonance image tissue classification using a partial volume model［J］. NeuroImage, 2001, 13: 856-876.

[10] [10] ZHOU X G, CHEN D K, YUAN S M. Medical brain MRI images segmentation by improved fuzzy c-means clustering analysis［J］. Journal of JiLin University (Engineering and Technology Edition), 2009, 39(Supp.2): 381-385. ( in Chinese)

[11] [11] KANNAN S R. A new segmentation system for brain MR images based on fuzzy techniques ［J］. Applied Soft Computing, 2008, 8: 1599-1606.

[12] [12] SIYAL M Y, YU LIN. An intelligent modified fuzzy c-means based algorithm for bias estimation and segmentation of brain MRI ［J］. Pattern Recognition Letters, 2005, 26: 2052-2062.

[13] [13] LUO SH Q, YAN H, WANG P. A new method of the extraction of brain surface form from volumetric magnetic resonance images［J］. Journal of Beijing Biomedical Engineering, 2000, 19(4): 200-205. ( in Chinese)

[14] [14] COHEN I, COHEN L D, AYACHE N. Using deformable surfaces to segment 3-D images and infer differential structures［J］. Image Understanding, 1992, 56(2): 242-263.

[15] [15] KELEMEN A, SZ′EKELY G, GERIG G. Elastic model-based segmentation of 3-D neurora- diological data sets［J］. IEEE Transactions on Medical Imaging, 1999, 18(10): 828-839.

[16] [16] TONG W Q, LING Y SH, HUANG CH CH. Processing method of IR image based on mathematical morphology and wavelet transform［J］. Opt. Precision Eng., 2007, 15(1): 138-144. ( in Chinese)