Fuzzy c-means with variable compactness

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Volumn , Issue , 2008, Pages 452-455

  Roy, Snehashis ^a   Agarwal, Harsh ^a   Carass, Aaron ^a   Bai, Ying ^a   Pham, Dzung L ^b   Prince, Jerry L ^a  

^a Image Analysis and Communications Laboratory

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Biomedical image processing; Fuzzy sets; Image segmentation; Magnetic resonance imaging

Indexed keywords

BIOMEDICAL IMAGE PROCESSING; BIOMEDICAL IMAGING; FUZZY SETS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING;

CHLORINE COMPOUNDS; CLASSIFICATION (OF INFORMATION); COMPUTER NETWORKS; FUZZY CLUSTERING; IMAGE ENHANCEMENT; RESONANCE; TECHNICAL PRESENTATIONS;

FUZZY SYSTEMS;

EID: 51049097457     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4541030     Document Type: Conference Paper

References (12)

1. J. C. Bezdek, "A convergence theorem for the fuzzy ISO-DATA clustering algorithms," IEEE Trans. on Pattern Anal. Machine Intell., Jan. 1980.
2. J. C. Bezdek, L. O. Hall, and L. P. Clarke, "Review of MR image segmentation techniques using pattern recognition," Medical Physics, vol. 20, pp. 1033-1048, 1993.
3. T. D. Pham, "Image segmentation using probabilistic Fuzzy C-Means clustering," Intl. Conf. on Image Proc, vol. 1, pp. 722-725, 2001.
4. X. Han, D. L. Pham, D. Tosun, M. E. Rettmann, C. Xu, and J. L. Prince, "CRUISE: Cortical Reconstruction Using Implicit Surface Evolution," NeuroImage, vol. 23, pp. 997-1012, November 2004.
5. D. L. Pham and J. L. Prince, "An adaptive Fuzzy C-Means algorithm for image segmentation in the presence of intensity inhomogeneities," Pattern Recognition Letters, vol. 20, pp. 57-68, January 1999.
6. D. L. Pham, "Robust fuzzy segmentation of magnetic resonance images," 14th IEEE Symposium on Computer-Based Medical Systems, pp. 127-131, 2001.
7. D. E. Gustafson and W. C. Kessel, "Fuzzy clustering with a fuzzy covariance matrix," Proc. IEEE Conf. Decision Contr., 1979.
8. 2 norm," Australian Conf. on Artificial Intel., pp. 1138-1141, 2005.
9. K. A. Clark, R. P. Woods, D. A. Rottenber, A. W. Toga, and J. C. Mazziotta, "Impact of acquisition protocols and processing streams on tissue segmentation of T1 weighted MR images," NeuroImage, vol. 29, pp. 185-202, 2006.
10. p norm distances," IEEE Trans. on Fuzzy Systems, vol. 8, no. 5, pp. 576-582, October 2000.
11. D. Tosun, M. E. Rettmann, D. Q. Naiman, S. M. Resnick, M. A. Kraut, and J. L. Prince, "Cortical Reconstruction Using Implicit Surface Evolution: A Landmark Validation Study," MICCAI, vol. 3216, pp. 384-392, 2004.
12. D. L. Pham, J. L. Prince, C. Xu, and A. P. Dagher, "An automated technique for statistical characterization of brain tissues in magnetic resonance imaging," Intl. Journal of Patt. Recog. and Artificial Intell., vol. 11, no. 8, pp. 1189-1211, 1997.