Improved fast fuzzy C-mean and its application in medical image segmentation

Journal of Circuits, Systems and Computers

Volumn 19, Issue 1, 2010, Pages 203-214

  Balafar, M A ^a   Rahman Ramli, A B D ^a   Iqbal Saripan, M ^a   Mashohor, Syamsiah ^a   Mahmud, Rozi ^a  

^a UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

Image segmentation; MRI; Supervised methods

Indexed keywords

AUTOMATIC METHOD; CLUSTERING METHODS; COLOR IMAGES; DIAGNOSIS TOOLS; FAST FCM; FUZZY C MEAN; GRAY LEVEL IMAGE; GRAY LEVELS; INHOMOGENEITIES; INPUT DATAS; LOW CONTRAST; MEDICAL IMAGE SEGMENTATION; MEDICAL IMAGES; TARGET CLASS; TRAINING DATA;

DIGITAL IMAGE STORAGE; FIRE FIGHTING EQUIPMENT; FUZZY RULES; FUZZY SYSTEMS; GRAPHIC METHODS; INPUT OUTPUT PROGRAMS;

IMAGE SEGMENTATION;

EID: 77951550469     PISSN: 02181266     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218126610006001     Document Type: Article

References (21)

1. M. A. Balafar, A. B. D. Rahman Ramli, M. Iqbal Saripan and S. Mashohor, Medical image segmentation using fuzzy c-mean (FCM), Bayesian method and user interaction, Int. Conf. Wavelet Analysis and Pattern Recognition (2008), pp. 30-31.
2. P.-L. Chang, et al., Exploiting the Self-Organizing Map for Medical Image Segmentation (CBMS, June 2007), pp. 281-288.
3. Y. Zhang, B. J. Matuszewski and L.-K. Shark, A novel medical image segmentation method using dynamic programming, MediViz (2007), pp. 69-74. (Pubitemid 47592276)
4. L. O. Hall, A. M. Bensaid, L. P. Clarke, R. P. Velthuizen, M. S. Silbiger and J. C. Bezdek, A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain, IEEE Trans. Neural Netw. 3 (1992) 672-682.
5. D. Tian and L. Fan, A Brain MR Images Segmentation Method Based on SOM Neural Network (ICBBE, 2007), pp. 686-689.
6. H. Suzuki and J. Toriwaki, Automatic segmentation of head MRI images by knowledge guided thresholding, Comput. Med. Image Graph. 15 (1991) 233-240.
7. A. R. Robb, Biomedical Imaging, Visualization, and Analysis (Wiley, New York, 2000).
8. R. Pohle and L. D. Toennies, Segmentation of medical images using adaptive region growing, Proc. SPIE, Med. Imag. Vol. 4322 (2001). (Pubitemid 32839727)
9. S. Shen, W. Sandham, M. Granat and A. Sterr, MRI fuzzy segmentation of brain tissue using neighbourhood attraction with neural-network optimization, IEEE Trans. Inform. Tech. Biomed. 9 (2005) 459-467. (Pubitemid 41388212)
10. S. T. Acton and D. P. Mukherjee, Scale space classification using area morphology, IEEE Trans. Image Process. 9 (2000) 623-635.
11. D. Q. Zhang and S. C. Chen, A novel kernelized fuzzy c-means algorithm with application in medical image segmentation, Artif. Intell. Med. 32 (2004) 37-52.
12. R. N. Dave, Characterization and detection of noise in clustering, Pattern Recogn. Lett. 12 (1991) 657-664.
13. D. L. Pham, Spatial models for fuzzy clustering, Comput. Vis. Image. Underst. 84 (2001) 285-297.
14. M. N. Ahmed, S. M. Yamany, N. Mohamed, A. A. Farag and T. Moriarty, A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data, IEEE Trans. Med. Imag. 21 (2002) 193-199. (Pubitemid 34630837)
15. R. R. Krishnapuram and J. M. Keller, A possibilistic approach to clustering, IEEE Trans. Fuzzy Syst. 1 (1993) 98-110.
16. Y. A. Tolias and S. M. Panas, On applying spatial constraints in fuzzy image clustering using a fuzzy rule-based system, IEEE Signal Process. Lett. 5 (1998) 245-247.
17. Y. Yong, Z. Chongxun and L. Pan, A novel fuzzy c-means clustering algorithm for image thresholding, Meas. Sci. Rev. 4 (2004).
18. BrainWeb [Online]. Available: www.bic.mni.mcgill.ca/brainweb/.
19. H. Boudouda, H. Seeridi and H. Akdag, The fuzzy possibilistic c-means classifier, Asian J. Inform. Technol. 4 (2005) 981-985.
20. K. Zou, Z. Wang and M. Hu, An new initialization method for fuzzy c-means algorithm, Fuzzy Optim. Dicis. Making. 7 (2008) 409-416.
21. A. Zijdenbos and B. Dawant, Brain segmentation and white matter lesion detection in MR images, Crit. Rev. Biomed. Eng. 22 (1994) 401-465. (Pubitemid 26039123)