Texture Features for Image Retrieval using Wavelet Transform

@inproceedings{Pawar2005TextureFF,
  title={Texture Features for Image Retrieval using Wavelet Transform},
  author={Vaishali S. Pawar and Milind M. Mushrif},
  year={2005}
}
Accuracy and efficiency are two important issues in designing content-based image retrieval system. In this paper we present an approach on a wavelet transform called tree-structured transform or wavelet packets for texture analysis. A simple texture classification algorithm having excellent performance for dominant channels decomposition tree structured is proposed here. The performance of our method is compared with the full-decomposition tree-structured and dimensionally reduced tree… CONTINUE READING
9 Citations
24 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-9 of 9 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 24 references

Fellow, IEEE “Content Based Image Retrieval at the end of the early years,

  • Arnold W.M. Smeulders, Senior Member, +6 authors Ramesh Jain
  • IEEE Transactions On Pattern Analysis And Machine…
  • 2000
Highly Influential
4 Excerpts

A System for Content -Based Retrieval In Digital Image Libraries

  • Qasim Iqbal, J. K. Aggrawal CIRES
  • 7th international conference on control…
  • 2002
2 Excerpts

Similar Papers

Loading similar papers…