MRI brain image segmentation by fuzzy symmetry based genetic clustering technique

2007 IEEE Congress on Evolutionary Computation, CEC 2007

Volumn , Issue , 2007, Pages 4417-4424

  Saha, Sriparna ^a,b   Bandyopadhyay, Sanghamitra ^a,b  

^a IEEE

^b INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Cluster validity index; Fuzzy clustering; Kd tree; Magnetic resonance image; Point symmetry based distance; Symmetry; Unsupervised classification

Indexed keywords

AUTOMATIC SEGMENTATION; CLUSTER VALIDITY INDEX; EUCLIDEAN DISTANCE; EXPECTATION MAXIMIZATION; POINT SYMMETRY BASED DISTANCE; UNSUPERVISED CLASSIFICATION;

BRAIN; CLUSTERING ALGORITHMS; DATA STRUCTURES; FUZZY CLUSTERING; MAGNETIC RESONANCE IMAGING;

IMAGE SEGMENTATION;

EID: 63049133834     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2007.4425049     Document Type: Conference Paper

References (16)

1. R. C. Gonzalez and R. E. Woods, Digital Image Processing. Massachusetts: Addison-Wesley, 1992.
2. P. Bradley, U. Fayyad, and C. Reina, "Scaling EM (expectation maximization) clustering to large databases," Microsoft Research Center, Tech. Rep., 1998.
3. Y. Zhang, M. Brady, and S. Smith, "Segmentation of brain MR image through a hidden markov random field model and the expectation maximization algorithm," IEEE Transactions on Medical Imaging, vol. 20, no. 1, 2001.
4. - , "A hidden markov random field model for segmentation of brain MR images," in Proceedings of SPIE Medical Imaging 2000, 2000, vol. 3979, pp. 1126-1137.
5. J. Suckling, T. Sigmundsson, K. Greenwood, and E. Bullmore, "A modified fuzzy clustering algorithm for operator independent brain tissue classification of dual echo MR images," Magnetic Resonance Imaging, vol. 17, pp. 1065-1076, 1999.
6. S. M. Bhandarkar and H. Zhang, "Image segmentation using evolutionary computation," IEEE Transactions on Evol. Comp., vol. 3, no. 1, pp. 1-21, 1999.
7. M.-C. Su and C.-H. Chou, "A modified version of the k-means algorithm with a distance based on cluster symmetry," IEEE Transactions Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 674-680, 2001.
8. C. H. Chou, M. C. Su, and E. Lai, "Symmetry as a new measure for cluster validity," in 2nd WSEAS Int. Conf. on Scientific Computation and Soft Computing, Crete, Greece, 2002, pp. 209-213.
9. S. Bandyopadhyay and S. Saha, "GAPS: A clustering method using a new point symmetry based distance measure," Pattern Recog., Accepted (March, 2007), URL: http://dx.doi.org/10.1016/j.patcog.2007.03.026.
10. J. C. Bezdek, "Fuzzy mathematics in pattern classification," Ph.D. dissertation, Cornell University, Ithaca, NY, 1973.
11. A. K. Jain, M. Murthy, and P. Flynn, "Data Clustering: A Review," ACM Computing Reviews, Nov,1999.
12. U. Maulik and S. Bandyopadhyay, "Fuzzy partitioning using a realcoded variable-length genetic algorithm for pixel classification," IEEE Transactions Geoscience and Remote Sensing, vol. 41, no. 5, pp. 1075-1081, 2003.
13. M. Srinivas and L. Patnaik, "Adaptive probabilities of crossover and mutation in genetic algorithms," IEEE Transactions on Systems, Man and Cybernatics, vol. 24, no. 4, pp. 656-667, April, 1994.
14. "BrainWeb: Simulated brain database." available: http://www.bic.mni.mcgill.ca/brainweb.
15. A. Ben-Hur and I. Guyon, Detecting Stable Clusters using Principal Component Analysis in Methods in Molecular Biology, M. Brownstein and A. Kohodursky, Eds. Humana press, 2003.
16. X. L. Xie and G. Beni, "A validity measure for fuzzy clustering," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, pp. 841-847, 1991.