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A Comparative Analysis of Clustering Algorithms for Content Based Image Retrieval

D. Napoleon, M. Praneesh, P. Ramya

Abstract


Content based image retrieval is a set of techniques for retrieving semantically relevant images from an image data based on automatically derived image features. In CBIR, Image are indexed by their visual content, such as color, texture and shapes. Further research has suggested that the usage of clustering technique of image retrieval. For this paper we compare Fuzzy Possiblistic C-Means clustering algorithm for retrieving the most similar images. In our experimental results shows that the modify Fuzzy Possiblistic Clustering Algorithm is better retrieval.

Keywords


Content- based Image Retrieval, Query, Modify Fuzzy Possiblistic C-Means.

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References


Li, J., Wang, J. Z. and Wiederhold, G.,―Integrated Region Matching for ImageRetrieval,‖ ACM Multimedia, 2000, p. 147-156.

Flickner, M., Sawhney, H., Niblack, W.,Ashley, J., Huang, Q., Dom, B., Gorkani, M.,Hafner, J., Lee, D., Petkovic, D., Steele, D.and Yanker, P., ―Query by image and videocontent: The QBIC system,‖ IEEE Computer,28(9), 1995,pp.23-32

Pentland, A., Picard, R. and Sclaroff S.,―Photo book: Content based manipulation of image databases‖, International Journal ofComputer Vision, 18(3), 1996, pp.233–254

Smith, J.R., and Chang, S.F., ―Single color extraction and image query,‖ In Proceeding IEEE International Conference on ImageProcessing, 1997, pp. 528–531

Gupta, A., and Jain, R., ―Visual information retrieval,‖ Comm. Assoc. Comp. Mach., 40(5), 1997, pp. 70–79.

M. Saadatmand-Tarzjan and H. A. Moghaddam, ―A Novel Evolutionary Approach for Optimizing Content-Based Image Indexing Algorithms‖, IEEE Transactions On Systems, Man, And Cybernetics—Part B: Cybernetics, Vol. 37, No. 1, February 2007, pp. 139 153.

N. Vasconcelos, ―From Pixels to Semantic Spaces: Advances in Content-Based ImageRetrieval‖,Computer Volume: 40, Issue: 7, 2007, pp. 20-26.

N. Rasiwasia and N. Vasconcelos, ―A Study of Query by Semantic Example‖, 3rd International Workshop on Semantic Learning and Applications in Multimedia, Anchorage, June 2008, pp. 1-8.

N. Rasiwasia, P. J. Moreno and N. Vasconcelos,―Bridging the Gap: Query by Semantic Example‖, IEEE Transactions On Multimedia, Vol. 9, No. 5, August 2007, pp. 923-938.

S. Cheng, W. Huang, Y. Liao and D. Wu, ―A Parallel CBIR Implementation Using Perceptual Grouping Of Block-based Visual Patterns‖, IEEE International Conference on Image Processing – ICIP, 2007, pp. V -161 - V - 164.

D. Tao, X. Tang, and X. Li ―Which Components are Important for Interactive Image Searching?‖, IEEE Transactions On Circuits And Systems For Video Technology, Vol. 18, No. 1, January 2008, pp. 3-11.


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