Image texture classification using a multiagent genetic clustering algorithm

2011 IEEE Congress of Evolutionary Computation, CEC 2011

Volumn , Issue , 2011, Pages 504-508

  Geng, Jiulei ^a   Liu, Jing ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER CENTERS; CLUSTERING PROBLEMS; CLUSTERING TECHNIQUES; DATA SETS; EVOLUTIONARY CLUSTERING; EVOLUTIONARY SEARCH; FEATURE VECTORS; GENETIC CLUSTERING ALGORITHMS; IMAGE TEXTURE CLASSIFICATION; K-MEANS ALGORITHM; MATRIX; MULTI-AGENT; REAL NUMBER; TEXTURAL IMAGES; TEXTURE FEATURES; UNSUPERVISED IMAGE CLASSIFICATION;

EVOLUTIONARY ALGORITHMS; MULTI AGENT SYSTEMS; TEXTURES;

CLUSTERING ALGORITHMS;

EID: 80052012270     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2011.5949660     Document Type: Conference Paper

References (14)

1. L. Kaufman and P. J. Rousseeuw, "Finding groups in data - an introduction to cluster analysis", Wiley Series in Probability and Mathematical Statistics, 1990.
2. E. R. Hruschka, R. J. G. B. Campello, A. A. Freitas, and A. C. P. L. F. de Carvalho., "A survey of evolutionary algorithms for clustering", IEEE Trans. on Systems, Man, and Cybernetics, Part C, 39(2), 2009, pp. 133-155.
3. W. Zhong, J. Liu, M. Xue, and L. Jiao, "A multiagent genetic algorithm for global numerical optimization", IEEE Trans. on Systems, Man, and Cybernetics, Part B, 34(2), 2004, pp. 1128-1141.
4. J. Liu, W. Zhong, and L. Jiao, "A multiagent evolutionary algorithm for constraint satisfaction problems", IEEE Trans. on Systems, Man, and Cybernetics, Part B, 36(1), 2006, pp. 54-73. (Pubitemid 43174141)
5. J. Liu, W. Zhong, and L. Jiao, "A multiagent evolutionary algorithm for combinatorial optimization problems", IEEE Trans. on Systems, Man, and Cybernetics, Part B, 40(1), 2010, pp. 229-240.
6. R. M. Haralick, K. Shanmugam, and I. Dinstein, "Textural features for image classification", IEEE Trans. Syst. Man Cybern. 3(6), 1973, pp. 610-621.
7. A. Frank and A. Asuncion, UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science, 2010.
8. J. A. Hartigan and M. A. Wong, "A K-means clustering algorithm", Appl. Stat. 28, 1979, pp. 100-108.
9. U. Maulik and S. Bandyopadhyay, "Genetic algorithm-based clustering technique", Pattern Recognition, 33(9), 2000, pp. 1455-1465.
10. D. A. Clausi and B. Yue, "Comparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery", IEEE Trans. Geosci. Remote Sens., 42(1), 2004, pp. 215-228.
11. D. A. Clausi, "An analysis of co-occurrence texture statistics as a function of grey level quantization", Can. J. Remote Sens., 28(1), 2002, pp. 45-62.
12. R. Xu and D. Wunsch II, "Survey of clustering algorithms", IEEE Trans. on Neural Networks, 16(3), 2005, pp. 645-678. (Pubitemid 40718010)
13. Y. W. Leung and Y. Wang, "An orthogonal genetic algorithm with quantization for global numerical optimization", IEEE Trans. Evol. Comput., 5(1), 2001, pp. 41-53. (Pubitemid 32330496)
14. P. Brodatz, Textures: A Photographic Album for Artists and Designers, Dover Publications, New York, 1966.