Comparative study of clustering based colour image segmentation techniques

8th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2012r

Volumn , Issue , 2012, Pages 839-844

  Chebbout, Samira ^a   Merouani, Hayet Farida ^b  

^a UNIVERSITY OF OUM EL BOUAGHI   (Algeria)

^b BADJI MOKHTAR UNIVERSITY   (Algeria)

Author keywords

Cluster validation; Clustering; Colour representations; Colour space analysis; Image segmentation; Pattern recognition

Indexed keywords

CLUSTER VALIDATION; CLUSTERING; CLUSTERING METHODS; COLOUR IMAGE; COLOUR IMAGE SEGMENTATION; COLOUR SPACES; COMPARATIVE STUDIES; HSV COLOUR SPACE; K-MEANS; K-MEANS CLUSTERING ALGORITHM; KOHONEN; NATURAL IMAGES; ORGANIZING MAP; PARTITIONING AROUND MEDOIDS; SEGMENTATION METHODS; SILHOUETTE WIDTH;

CLUSTERING ALGORITHMS; COLOR; CONFORMAL MAPPING; PATTERN RECOGNITION;

IMAGE SEGMENTATION;

EID: 84874045873     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SITIS.2012.126     Document Type: Conference Paper

References (15)

1. Manimala Singha et al, "Colour Image Segmentation for Satellite Images, International Journal on Computer Science and Engineering (IJCSE),Vol. 3 No. 12, pp. 3756-3762, 2011
2. Y.I. Ohta, T.Kanade and T.Sakai, "Colour information for region segmentation, Computer Graphics and Image Processing, vol. 13, pp.222-241 1980.
3. Parag Puranik, Preeti Bajaj, Ajith Abraham, Prasanna Palsodkar, and Amol Deshmukh, "Human Perception-based Colour Image Segmentation Using Comprehensive Learning Particle Swarm Optimization, Journal of Information Hiding and Multimedia Signal Processing, vol. 2, no. 3, pp. 227-235,2011.
4. Rajeshwar Dass, Priyanka, Swapna Devi, "Image Segmentation Techniques, International Journal of electronics & communication technology, Vol. 3, Issue 1, pp. 66-70, 2012.
5. J.B. MacQueen, "Some Methods for Classification and Analysis of Multivariate Observations, In Proceeding of 5th Berkley Symposium on Mathematical Statistics and Probability, Volume I: Statistics, pp. 281-297,1967.
6. L. Kaufman and P.J. Rousseeuw, "Finding Groups in Data: An Introduction to Cluster Analysis,Wiley series in probability and statistics. John Wiley and Sons Inc, 1990.
7. T. Kohonen, Self-Organizing Maps, Springer-Verlag, Berlin, 1997.
8. P Mangiameli, S.K Chen and D.West, "A comparison of SOM neural network and hierarchical clustering methods, Eur J Operational, pp. 402-417,1996.
9. Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu, "Understanding of Internal Clustering Validation Measures, IEEE International Conference on Data Mining, pp. 911-916,2010.
10. J. Handl et al, "Computational cluster validation in post-genomic data analysis, Bioinformatics, No. 21, pp. 3201-3212,2005.
11. F. Azuaje, "A cluster validity framework for genome expression data, Bioinformatics, pp. 319-320,2002.
12. N. Bolshakova, F. Azuaje, "Cluster validation techniques for genome expression data, Technical Report, Computer Science Department, The University of Dublin, 2002.
13. M.J. Crawley, The R Book, Imperial College London, Silwood Park, UK, 2007.
14. The R Project for Statistical Computing Available from: URL: http://www.r-project.org, Version 2.8.
15. C. Fowlkes, D. Martin and J. Malik, "The Berkeley Segmentation Dataset and Benchmark (BSDS). www.cs.berkeley.edu/projects/vision/grouping/ segbench/.