An improved FCM algorithm for color image segmentation

3rd International Conference on Innovative Computing Information and Control, ICICIC'08

Volumn , Issue , 2008, Pages

  Kaiqi, Zou ^a   Zhiping, Wang ^a   Ming, Hu ^a  

^a DALIAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CHLORINE COMPOUNDS; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; COLOR; COLOR IMAGE PROCESSING; COMPUTATIONAL COMPLEXITY; DIGITAL IMAGE STORAGE; EIGENVALUES AND EIGENFUNCTIONS; FLOW OF SOLIDS; FUZZY CLUSTERING; FUZZY RULES; FUZZY SYSTEMS; IMAGE PROCESSING; MATHEMATICAL TECHNIQUES; OPTICAL PROPERTIES;

CLUSTER CENTERS; CLUSTER VALIDITY; CLUSTERING PERFORMANCE; COLOR FEATURES; COLOR IMAGE SEGMENTATION; EIGEN VECTORS; FCM ALGORITHMS; IMAGE DATA; IMPROVED FUZZY C-MEANS CLUSTERING; INITIAL CLUSTER CENTERS; INTERNATIONAL CONFERENCES; NUMBER OF CLUSTERS; OBJECT FUNCTIONS; ONE-DIMENSIONAL; SUBTRACTIVE CLUSTERING;

IMAGE SEGMENTATION;

EID: 52449096143     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIC.2008.143     Document Type: Conference Paper

References (10)

1. Cheng H D, Jiang X H, Sun Y, et al. Color Image Segmentation: Advance and Prospects [J]. Pattern Recognition, 2001, 34(12): 2259-2281.
2. Dunn J C. A Fuzzy Relative of the ISODATA Process and its Use in Detecting Compact Well Separated Cluster [J]. J Cybernet, 1974, 3: 32-57.
3. Bezdek J C. Pattern Recognition with Fuzzy Objective Function Algorithms [M]. New York: Plenum Press, 1981.
4. Yager Ronald R, Filev Dimitar P. Approximate Clustering Via the Mountain Method [J]. IEEE Transactions on System, 1994, 24(8): 1279-1284.
5. Chiu S L. Fuzzy model identification based on cluster estimation [J]. J. Intelligent & Fuzzy Systems, 1994, 2(3):267-278.
6. Zhang Xun, Zhan Cheng-wei, Deng Hui-wen, Tang Ganyi. Approximate Clustering Via the Quick Subtractive Clustering method[J].Journal of Southwest China Normal,2006, 31(3): 126-129.
7. Nikhil R Pal, Debrup Chakraborty. Mountain and Subtractive Clustering Method: Improvements and Generalizations [J]. International Journal of Intelligent Systems, 2000, 15(4): 329-341.
8. Ding Zhen, HU Zhong-shan. FCM Algorithm for the Research of Intensity Image Segmentation [J]. Journal of Electronics, 1997, 25(5): 39-43.
9. Ohta Y, Kanade T, Sakai T. Color Information for Region Segmentation [J].Computer Graphics and Image Processing, 1980, 13:222-241.
10. Xie X L, Beni G. A validity measure for fuzzy clustering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13(8):841-847.