SASI: a generic texture descriptor for image retrieval

@article{arkacioglu2003SASIAG,
  title={SASI: a generic texture descriptor for image retrieval},
  author={Abdurrahman Çarkacioglu and Fatos T. Yarman-Vural},
  journal={Pattern Recognition},
  year={2003},
  volume={36},
  pages={2615-2633}
}
In this paper, a generic texture descriptor, namely, Statistical Analysis of Structural Information (SASI) is introduced as a representation of texture. SASI is based on statistics of clique autocorrelation coefficients, calculated over structuring windows. SASI defines a set of clique windows to extract and measure various structural properties of texture by using a spatial multi-resolution method. Experimental results, performed on various image databases, indicate that SASI is more… CONTINUE READING
Highly Cited
This paper has 60 citations. REVIEW CITATIONS
33 Citations
20 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 33 extracted citations

61 Citations

051015'06'09'12'15'18
Citations per Year
Semantic Scholar estimates that this publication has 61 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 20 references

Modelling by Optimal Gray Scale Structuring Elements Using Morphological Pattern Spectrum

  • A. Asona, M. Miyagawa, M. Fujio, Texture
  • 2000
1 Excerpt

Investigation the Use of Photometric Stereo for Surface Rotation-Invariant Texture Classification", technical report RM/99/01

  • J. Wu
  • Department of Computing & Electrical Engineering,
  • 1999
3 Excerpts

Yarman-Vural, “A Set of Similarity Measures for Binary and Gray Level Markov Random Fields Textures”

  • F.T.A. Carkacioglu
  • IAPR - ICIAP
  • 1997
1 Excerpt

Similar Papers

Loading similar papers…