A wavelet based image retrieval

  • Authors:
  • Kalyani Mali;Rana Datta Gupta

  • Affiliations:
  • Department of Computer Science, Kalyani University, Kalyani, India;Department of Computer Science & Engineering, Jadavpur University, Calcutta, India

  • Venue:
  • PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
  • Year:
  • 2005

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Abstract

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.