A fast FCM cluster multi-threshold image segmentation algorithm based on entropy constraint

Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence

Volumn 21, Issue 2, 2008, Pages 221-226

  Tian, Jun Wei ^a,b   Huang, Yong Xuan ^a   Yu, Ya Lin ^c  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b XI'AN TECHNOLOGICAL UNIVERSITY   (China)

^c Shanxi Huangjing Micro Electronics Co Ltd   (China)

Author keywords

Entropy; Fuzzy c Mean (FCM); Image Segmentation; Multi Threshold; Resampling

Indexed keywords

IMAGE PROCESSING;

CLUSTER SEGMENTATION; FUZZY C-MEAN (FCM); MULTI-THRESHOLD; RESAMPLING;

IMAGE SEGMENTATION;

EID: 44849094107     PISSN: 10036059     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. Pal N R, Pal S K. A Review on Image Segmentation Techniques. Pattern Recognition, 1993, 26 (9): 1277-1294
2. Bezdek J C. Pattern Recognition with Fuzzy Objective Function Algorithms. New York, USA: Plenum Press, 1981
3. Udupa J K, Samarasekera S. Fuzzy Connectedness and Object Definition: Theory, Algorithm and Applications in Image Segmentation. Graph Models and Image Processing, 1996, 58 (3): 246-261
4. Yamany S M, Farag A A, Hsu S. A Fuzzy Hyperspectral Classifier for Automatic Target Recognition (ATR) Systems. Pattern Recognition Letters, 1999, 20 (11/12/13): 1431-1438
5. Szilágyi L, Benyó Z, Szilágy S M, et al. MR Brain Image Segmentation Using an Enhanced Fuzzy c-Means Algorithm // Proc of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Cancun, Mexico, 2003, I: 724-726
6. Chen Songcan, Zhang Daoqiang. Robust Image Segmentation Using FCM with Spatial Constraints Based on New Kernel-Induced Distance Measure. IEEE Trans on Systems, Man and Cybernetics, 2004, 34 (4): 1907-1916
7. Hathaway R J, Bezdek J C, Hu Yingkang. Generalized Fuzzy c-Means Clustering Strategies Using L Norm Distance. IEEE Trans on Fuzzy Systems, 2000, 8 (5): 576-582
8. Leski J. An Insensitive Approach to Fuzzy Clustering. International Journal of Applied Mathematics and Computer Science, 2001, 11 (4): 993-1007
9. Pham D L, Prince J L. Adaptive Fuzzy c-Means Algorithm for Image Segmentation in the Presence of Intensity Inhomogeneities. Proc of SPIE, 1998, 3338: 553-563
10. Tolias Y A, Panas S M. On Applying Spatial Constraints in Fuzzy Image Clustering Using a Fuzzy Rule-Based System. IEEE Signal Processing Letters, 1998, 5 (10): 245-247
11. Liew A W C, Leung S H, Lau W H. Fuzzy Image Clustering Incorporating Spatial Continuity. IEE Proc: Vision Image Signal Processing, 2000, 147 (2): 185-192
12. Pham D L. Fuzzy Clustering with Spatial Constraints // Proc of the International Conference on Image Processing. New York, USA, 2002: II: 65-68
13. Liew A W C, Yan Hong. An Adaptive Spatial Fuzzy Clustering Algorithm for 3D MR Image Segmentation. IEEE Trans on Medical Imaging, 2003, 22 (9): 1063-1075
14. Pham D L, Prince J L. Adaptive Fuzzy Segmentation of Magnetic Resonance Images. IEEE Trans on Medical Imaging, 1999, 18 (9): 737-752
15. Ahmed M N, Yamany S M, Mohamed N, et al. A Modified Fuzzy c-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data. IEEE Trans on Medical Imaging, 2002, 21 (3): 193-199
16. Li Xiang, Li Liang, Lu Hongbing, et al. Inhomogeneity Correction for Magnetic Resonance Images with Fuzzy c-Means Algorithm. Proc of SPIE, 2003, 5032: 995-1005
17. He R, Datta S, Sajia B R, et al. Adaptive FCM with Contextual Constrains for Segmentation of Multi-Spectral MRI // Proc of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. San Francisco, USA, 2004: III: 1660-1663
18. Yen J C, Chang F J, Chang S. A New Criterion for Automatic Multilevel Thresholding. IEEE Trans on Image Processing, 1995, 4 (3): 370-378
19. Li E H, Lee C K. Minimum Cross-Entropy Thresholding. Pattern Recognition, 1993, 26 (3): 617-625
20. Brink A D, Pendcock N E. Minimum Cross-Entropy Threshold Selection. Pattern Recognition, 1996, 29 (1): 179-188
21. Albuquerque M P, Esquet I A, Gesualdi M A R. Image Thresholding Using Tsallis Entropy. Pattern Recognition Letters, 2004, 25 (9): 1059-1065