A robust fuzzy local information C-means clustering algorithm

IEEE Transactions on Image Processing

Volumn 19, Issue 5, 2010, Pages 1328-1337

  Krinidis, Stelios ^a   Chatzis, Vassilios ^a  

^a TECHNOLOGICAL EDUCATIONAL INSTITUTE OF KAVALA   (Greece)

Author keywords

Clustering; Fuzzy c means; Fuzzy constraints; Gray level constraints; Image segmentation; Spatial constraints

Indexed keywords

FUZZY C MEAN; FUZZY CONSTRAINTS; FUZZY-CONSTRAINT; GRAY LEVELS; SPATIAL CONSTRAINTS;

DIGITAL IMAGE STORAGE; FUZZY CLUSTERING; FUZZY SYSTEMS; IMAGE SEGMENTATION; VECTOR QUANTIZATION;

CLUSTERING ALGORITHMS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; FUZZY LOGIC; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; CLUSTER ANALYSIS; FUZZY LOGIC; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77951276538     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2040763     Document Type: Article

References (25)

1. X. Munoz, J. Freixenet, X. Cufi, and J. Marti, "Strategies for image segmentation combining region and boundary information," Pattern Recognit. Lett., vol.24, no.1, pp. 375-392, 2003. (Pubitemid 36080783)
2. D. Pham, C. Xu, and J. Prince, "A survey of current methods in medical image segmentation," Annu. Rev. Biomed. Eng., vol.2, pp. 315-337, 2000.
3. L. Zadeh, "Fuzzy sets," Inf. Control, vol.8, pp. 338-353, 1965.
4. J. Udupa and S. Samarasekera, "Fuzzy connectedness and object definition: Theory, algorithm and applications in image segmentation," Graph. Models Image Process., vol.58, no.3, pp. 246-261, 1996. (Pubitemid 126381825)
5. Y. Tolias and S. Panas, "Image segmentation by a fuzzy clustering algorithm using adaptive spatially constrained membership functions," IEEE Trans. Syst., Man, Cybern., vol.28, no.3, pp. 359-369, Mar. 1998. (Pubitemid 128752068)
6. J. Noordam, W. van den Broek, and L. Buydens, "Geometrically guided fuzzy C-means clustering for multivariate image segmentation," in Proc. Int. Conf. Pattern Recognition, 2000, vol.1, pp. 462-465.
7. M. Yang, Y. J. Hu, K. Lin, and C. C. Lin, "Segmentation techniques for tissue differentiation in MRI of ophthalmology using fuzzy clustering algorithms," Magn. Res. Imag., vol.20, no.2, pp. 173-179, 2002. (Pubitemid 34553183)
8. G. Karmakar and L. Dooley, "A generic fuzzy rule based image segmentation algorithm," Pattern Recognit. Lett., vol.23, no.10, pp. 1215-1227, 2002. (Pubitemid 34527813)
9. M. Ahmed, S. Yamany, N. Mohamed, A. Farag, and T. Moriarty, "A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data," IEEE Trans. Med. Imag., vol.21, pp. 193-199, 2002. (Pubitemid 34630837)
10. J. Bezdek, Pattern Recognition With Fuzzy Objective Function Algorithms. New York: Plenum, 1981.
11. D. Pham, "An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities," Pattern Recognit. Lett., vol.20, pp. 57-68, 1999. (Pubitemid 29430718)
12. S. Chen and D. Zhang, "Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure," IEEE Trans. Syst., Man, Cybern., vol.34, pp. 1907-1916, 2004.
13. L. Szilagyi, Z. Benyo, S. Szilagyii, and H. Adam, "MR brain image segmentation using an enhanced fuzzy C-means algorithm," in Proc. 25th Annu. Int. Conf. IEEE EMBS, 2003, pp. 17-21.
14. M. Krinidis and I. Pitas, "Color texture segmentation based-on the modal energy of deformable surfaces," IEEE Trans. Image Process., vol.18, no.7, pp. 1613-1622, Jul. 2009.
15. D. Pham, "Fuzzy clustering with spatial constraints," in Proc. Int. Conf. Image Processing, New York, 2002, vol.II, pp. 65-68. (Pubitemid 35438536)
16. W. Cai, S. Chen, and D. Zhang, "Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation," Pattern Recognit., vol.40, no.3, pp. 825-838, Mar. 2007. (Pubitemid 44667762)
17. J. Dunn, "A fuzzy relative of the ISODATA process and its use in detecting compact well separated clusters," J. Cybern., vol.3, pp. 32-57, 1974.
18. R. Hathaway, J. Bezdek, and Y. Hu, "Generalized fuzzy c-means clustering strategies using L norm distance," IEEE Trans. Fuzzy Syst., vol.8, pp. 576-582, Oct. 2000.
19. K.Wu and M. Yang, "Alternative c-means clustering algorithms," Pattern Recognit., vol.35, no.10, pp. 2267-2278, 2002. (Pubitemid 34812877)
20. J. Leski, "Toward a robust fuzzy clustering," Fuzzy Sets Syst., vol.137, no.2, pp. 215-233, 2003.
21. J. MacQueen, "Some methods for classification and analysis of multivariate observations," in Proc. 5th Berkeley Symp. Mathematical Statistics and Probability, 1967, vol.1, pp. 281-297.
22. R. Sibson, "SLINK: An optimally efficient algorithm for the single-link cluster method," The Comput. J., vol.16, no.1, pp. 30-34, 1973.
23. M. Mathworks and Natick, Image Processing Toolbox [Online]. Available: http://www.mathworks.com
24. F. Masulli and A. Schenone, "A fuzzy clustering based segmentation system as support to diagnosis in medical imaging," Artif. Intell. Med., vol.16, no.2, pp. 129-147, 1999. (Pubitemid 29236496)
25. D. Martin, C. Fowlkes, D. Tal, and J. Malik, "A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics," in Proc. 8th Int. Conf. Computer Vision, Jul. 2001, vol.2, pp. 416-423. (Pubitemid 32795086)