A Wavelet Based Image Retrieval
An wavelet based image retrieval scheme is described. Wavelet transforms are applied to compress the image space, thereby reducing noise. A combination of texture, shape, topology and fuzzy geometric features, that is invariant to orientation, scale and object deformation, are extracted from this compressed image. The use of wavelet based compression eliminates the need for any other preprocessing. The extracted features serve as the signature of the compressed images, in terms of their content. Their use in content based image retrieval is demonstrated.
KeywordsImage mining wavelets content based image retrieval image compression
- 2.Li, T., Li, Q., Zhu, S., Ogihara, M.: A survey on wavelet applications in data mining. ACM SIGKDD Explorations Newsletter 4 (2002)Google Scholar
- 4.Mitra, S., Acharya, T.: Data Mining: Multimedia, Soft Computing, and Bioinformatics. John Wiley, New York (2003)Google Scholar
- 5.Castelli, V., Bergman, L.: Image Databases: Search and Retrieval of Digital Imagery. Wiley-Interscience, New York (2001)Google Scholar
- 8.Bishnu, A., Bhattacharya, B.B., Kundu, M.K., Murthy, C.A., Acharya, T.: Euler vector: A combinatorial signature of gray-tone images. In: Proc. of the IEEE Int. Conf. on Information Technology: Coding & Computing (2002)Google Scholar
- 9.Pal, S.K., Mitra, S.: Neuro-fuzzy Pattern Recognition: Methods in Soft Computing. John Wiley, New York (1999)Google Scholar