Development of content based image retrieval system using wavelet and Gabor transform
Keywords:
Content-based Image Retrieval (CBIR), Image Search, Image Descriptor, Wavelet Color-SpatialAbstract
A novel approach to image retrieval using color, texture and spatial information is proposed. The color information of an image is represented by the proposed color hologram, which takes into account both the occurrence of colors of pixels and the colors of their neighboring pixels. The proposed Fuzzy Color homogeneity, encoded by fuzzy sets, is incorporated in the color hologram computation. The texture information is described by the mean, variance and energy of wavelet decomposition coefficients in all sub bands. The spatial information is characterized by the class parameters obtained automatically from a unique unsupervised segmentation algorithm in combination with wavelet decomposition. Multi-stage filtering is applied to query processing to reduce the search range to speed up the query. Color homogram filter, wavelet texture filter, and spatial filter are used in sequence to eliminate images that are dissimilar to a query image in color, texture, and spatial information from the search ranges respectively. The proposed texture distance measure used in the wavelet texture filter considers the relationship between the coefficient value ranges and the decomposition levels, thus improving the retrieval performance.
References
Mum-Kew Leong, Woo Chang, ISO/IEC PDTR 24800-1: JPSearch –Part 1: Framework and System Components, ISO/IEC JTC1/SC29/WG1N4203, Apr., 2007
Arnol W.M. Smeulders, Marcel Warring, Simone Santini, Amarnarth Gupta, Ramesh Jain, Content-based Image Retrieval at the End of the Early Years, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, no.12, 2000.
B.S. Manjunath, Hens-Rainer Ohm, Vinod V. Vasudevan, Akio Yamada, Color and Texture Descriptors, IEEE Transactions on Circuits and System for Video Technology, vol.11, no.6, pp.703~715, June, 2001
Ricardo Silva Torres, Alexandre Zavier Falcao, Content-based Image Retrieval: Theory and Applications, Brazilian Symposium on
Computer Graphics and Image Processing (SIBGRAPO), Oct., 2006.
Mun-Kew Leong, Wo Chang: Framework and System Components, ISO/IEC JTC1/SC29/WG1N3684, July, 2005.
Vittorio Castelli, Lawrence D. Bergman: Image Databases – Search and Retrieval of Digital Imagery, Wiley Inter-Science, 2002
. M.Swain and D. Ballard, “Color Indexing,” Int J.Comput. Vis., vol. 7, pp. 11-32, 1991.
. A. W. M. Smeulders et al., “Content-Based Image Retrieval at the end of the Early Years,” IEEE Trans. On Pattern Anal. Machine Intell., vol. 22, pp.1349-1380, Dec. 2000.
. M. Stricker and A. Dimai, “Spectral Covariance and Fuzzy Regions for Image Indexing,” Mach. Vis.Applicat., vol. 10, pp. 66-73, 1977
James Z. Wang, "Integrated Region-Based Image Retrieval", Boston, Kluwer Academic Publishers, 2001
J.R. Smith and S.F. Chang "Automated image retrieval using color and texture", Technical Report CU/CTR 408-95-14, Columbia University, July 1995.
J.R. Smith and S.F. Chang. " Tools and techniques for color image retrieval", In Symposium on Electronic Imaging: Science and Technology - Storage & Retrieval for Image and Video Databases IV, volume 2670, San Jose, CA, February 1996. IS&T/SPIE.
Sameer Antenna, Rangachar Caster, and Ramesh Jain. A Survey on the Use of Pattern Recognition Methods for Abstraction, Indexing and Retrieval of Images and Video. Pattern Recognition,35:945–965, 2002.
I Daubechies, Ten Lectures on Wavelets, Capital City Press, 1992.
Faloutsos, R. Barber, M. Flickner, J. Hafner,W. Niblack, D. Petkovic, W. Equitz, ``Efficient and effective querying by image content,’ Journal of Intelligent Information Systems: Integrating Artificial Intelligence and Database Technologies, vol. 3, no. 3-4, pp. 231-62, July 1994.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2013 COMPUSOFT: An International Journal of Advanced Computer Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
©2023. COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY by COMPUSOFT PUBLICATION is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY. Permissions beyond the scope of this license may be available at Creative Commons Attribution 4.0 International Public License.
