A novel modified kernel fuzzy c-means clustering algorithm on image segementation

Proc. - 14th IEEE Int. Conf. on Computational Science and Engineering, CSE 2011 and 11th Int. Symp. on Pervasive Systems, Algorithms, and Networks, I-SPA 2011 and 10th IEEE Int. Conf. on IUCC 2011

Volumn , Issue , 2011, Pages 621-626

  Yu, Chun Yan ^a   Li, Ying ^a   Liu, Ai Lian ^b   Liu, Jing Hong ^b  

^a DALIAN MARITIME UNIVERSITY   (China)

^b DALIAN MEDICAL UNIVERSITY   (China)

Author keywords

component; FCM; fuzzy clustering; KFCM; medical image segmentation; neighbor term; NMKFCM

Indexed keywords

COMPONENT; FCM; KFCM; MEDICAL IMAGE SEGMENTATION; NEIGHBOR TERM; NMKFCM;

COMPUTATIONAL EFFICIENCY; FUZZY CLUSTERING; FUZZY SYSTEMS; IMAGE SEGMENTATION; MEDICAL IMAGING; UBIQUITOUS COMPUTING;

CLUSTERING ALGORITHMS;

EID: 81455155056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSE.2011.109     Document Type: Conference Paper

References (18)

1. X. Munoz, J. Freixenet, X. Cufi, and J. Marti, "Strategies for image segmentation combining region and boundary information,"PatternRecognit. Lett., vol. 24, no. 1,pp375-392, 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, pp315-337, 2000.
3. Stelios Krinidis and Vassilios Chatzis, " A Robust Fuzzy LocalInformation C-Means Clustering Algorithm",IEEE Trans on imageprocessing,vol 19,No 5,pp1328-1337,May 2010
4. Bezdek . J. C . : Pattern Recognition with Fuzzy Objective Function Algorithms.Plenum Press,New York,1981
5. M. Krinidis and I. Pitas, "Color texture segmentation based-on the modal energy of deformable surfaces," IEEE Trans. Image Process., vol. 18, no. 7,pp1613-1622,Jul. 2009
6. Taoying Li,Yan Chen."A modified FCM algorithm and application" Journal of Dalian Matime University,32(4):pp23-27,2006.
7. Kaiyan Lin,Lihong Xu,Junhui Wu."A Fast Fuzzy C-Means Clustering for Color Image Segmentation",Journal of Image and Graphics,9(2):pp159-163, 2004.
8. Na Li," The method for segmentation of brain tissues in MRI",Degree paper, Institution of Biomedical Engineering Central South University,2007.
9. Wu, Z, Xie, W.X Yu, J . -p : Fuzzy C-means clustering algorithm based on kernel method . In : Proceedings of Fifth International Conference on Computational Intelligence and Multimedia Applications,pp 49-56,2003
10. Li Zhang,Wei-dai Zhou,Li-cheng Jiao,"kernel clustering algorithm", Chinese Journal of Computers,25(6),pp587-590,2002
11. Li K, Liu,Y,KFCSA : A Novel clustering Algorithm for High DimensionData,In:Wang,L,Jin, (eds.)FSKD,2005, LNCS(LNAI),vol 3613,pp531-536.Springer,Heidelberg,2005.
12. John Shawe-Taylor and Nello Cristianlnd,"kernel methods for pattern analysis", Cambridge, 2004, www.cambridge.org/9780521813976.
13. Huang, T . -M,Kecman, V ., Kopriva, 1,"Kernel Based Algorithms for Mining Huge Data SetsSupervised.Semi-supervised and Unsupervised,Learning", Springer,Berlin,2006.
14. Robert l,Cannon,Jitendra V.Dave,and James c. Bezdek,"Efficient Implementation of the Fuzzy c-Means Clusteng Algornthms", IEEE Trans on Patten Analysis and Machine Intelligence,vlo .pami-8,No 2,.pp248-255, March 1986.
15. Lin Zhu, Fu-Lai Chung, and Shitong Wang," Generalized Fuzzy CMeans Clustering Algorithm With Improved Fuzzy Partitions", IEEE Trans on Systems,Man and Cybernetics-Part B:Cybernetics,vol 39,No 3,pp578-591, June 2009.
16. Gimiami M,"Mercer kemd based clustering in feature space".IEEE Trans.on Neural Networks,13 (3),pp780-784,2002.
17. Wu Zhongdong, Gao Xinbo,XieWeixin,Yu Jianpin, " Kernel method based fuzzy clustering algorithm", Journal of Systems Engineering and Electronics,V01. 16, No. 1, pp160-166, 2005.
18. 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, pp193- 199,2002.