Advertisement

Information Retrieval

, Volume 3, Issue 3, pp 229–241 | Cite as

Content-Based Image Retrieval in Astronomy

  • A. Csillaghy
  • H. Hinterberger
  • A.O. Benz
Article

Abstract

Content-based image retrieval in astronomy needs methods that can deal with an image content made of noisy and diffuse structures. This motivates investigations on how information should be summarized and indexed for this specific kind of images. The method we present first summarizes the image information content by partitioning the image in regions with same texture. We call this process texture summarization. Second, indexing features are generated by examining the distribution of parameters describing image regions. Indexing features can be associated with global or local image characteristics. Both kinds of indexing features are evaluated on the retrieval system of the Zurich archive of solar radio spectrograms. The evaluation shows that generating local indexing features using self-organizing maps yields the best effectiveness of all tested methods.

astronomy image archives self-organizing maps image feature indexing 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. ASPECT (1996) The Ikarus/Phoenix Image Retrieval System ASPECT, ETH Zurich. www.astro.phys. ethz.ch/rapp/Google Scholar
  2. Benz AO, Güdel M, Isliker H, Miszkowicz S and Stehling W (1991) Solar Physics, 133:385. www.astro. phys.ethz.ch/papers/benz/benz p nf.htmlGoogle Scholar
  3. Carson C, Belongie S, Greenspan H and Malik J (1997) Proc. Workshop on Content-Based Access of Image and Video Libraries, IEEE, 4:42.Google Scholar
  4. Csillaghy A (1996) Vistas in Astronomy, 40:503. www.astro.phys.ethz.ch/papers/csillaghy/nice. psGoogle Scholar
  5. Csillaghy A (1997a) In: Proc. of the 5th Int. Workshop on Data Analysis in Astronomy. www.astro.phys. ethz.ch/papers/csillaghy/erice96.ps.gzGoogle Scholar
  6. Csillaghy A (1997b) PhD Thesis, Swiss Federal Institute of Technology, Zurich. www.shaker.de/Online-Gesamtkatalog/Details.idc?ISBN=3-8265-3131-0Google Scholar
  7. Csillaghy A (1997c) In: Proc. of the Final CCMA Conference. www.astro.phys.ethz.ch/papers/ csillaghy/ munich/paper.htmlGoogle Scholar
  8. Csillaghy A and Benz AO (1999) Sol. Phys., 188:203. hessi.ssl.berkeley.edu/csillag/papers/ sp99.psGoogle Scholar
  9. Flickner M, Sawhney H, Niblack W, Ashley J, Huang Q, Dom B, Gorkani M, Hafner J, Lee D, Patrovic D, Steele D and Yanker P (1995) Computer, 28(9):2.Google Scholar
  10. Frei H, Meienberg S and Schäuble P (1991) In: Fuhr N Ed., Workshop on information retrieval. Informatik-Fachberichte. Springer, Berlin. Vol. 289, pp. 1-10.Google Scholar
  11. Gupta A and Jain R (1997) Comm. ACM, 40(5):71.Google Scholar
  12. Guttman S (1984) In: Proceedings of the SIGMOD Conference, ACM, pp. 47-57.Google Scholar
  13. Hertz J, Palmer RG and Krogh AS (1991) In: Introduction to the Theory of Neural Computation. Addison-Wesley, Reading MA, Lecture Notes.Google Scholar
  14. Isliker H and Benz AO (1994) A&AS, 104:145.Google Scholar
  15. Kohonen T (1989) In: Self-Organization and Associative Memory, Springer Series in Information Sciences.Google Scholar
  16. Messmer P, Benz AO and Monstein C (1999) Sol. Phys., 187:33.Google Scholar
  17. Murtagh F (1994) In: Proceedings of the 14th Int. CODATA Conference, Chambéry. http.hq.eso.org/ »fmurtagh/papers/image-retrieval-codata94.psGoogle Scholar
  18. Nievergelt J, Hinterberger H and Sevcik K (1984) ACM Transactions on Database Systems, 9(1):35.Google Scholar
  19. Perrenoud M (1981) PhD Thesis, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland. In German.Google Scholar
  20. Raghavan V, Jung G and Bollman P (1989) ACM Transactions on Information Systems, 7(3):205.Google Scholar
  21. Samet H (1989) The Design and Analysis of Spatial Data Structures. Addison-Wesley, Reading, MA.Google Scholar
  22. Schäuble P (1997) Multi-Media Information Retrieval, Content-Based Information Retrieval from Large Text and Audio Databases. Kluwer, Dordrecht.Google Scholar
  23. SOM (1997) SOM PAK: The Self-Organizing Map Program Package, SOM Programming Team, Helsinki University of Technology. nucleus.hut.fi/nnrc/som pakGoogle Scholar
  24. Tanimoto T (1958) Undocumented Technical Report, IBM Corp.Google Scholar
  25. van Rijsbergen C (1979) Information Retrieval. Butterworth, London.Google Scholar
  26. Wells DC, Greisen EW and Harten RH (1981) Astronomy & Astrophysics Supplement Series, 44:363.Google Scholar

Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • A. Csillaghy
    • 1
  • H. Hinterberger
    • 2
  • A.O. Benz
    • 3
  1. 1.Space Sciences LaboratoryUniversity of CaliforniaBerkeley
  2. 2.Institute of Scientific Computing, ETH-ZentrumZurichSwitzerland
  3. 3.Institute of Astronomy, ETH-ZentrumZurichSwitzerland

Personalised recommendations