Skip to main content

An approach to heuristic exploitation of astronomers' knowledge in automatic interpretation of optical pictures

  • Important Methods
  • Chapter
  • First Online:

Part of the book series: Lecture Notes in Physics ((LNP,volume 329))

This is a preview of subscription content, log in via an institution.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Accomazzi, A., Bordogna, G., Mussio, P. and Rampini, A. (1989), “Rulebased description and plausible classification of objects in digitized astronomical images”, Data Analysis in Astronomy III, V. Di Gesú, L.Scarsi, P. Crane, J.H. Friedman, S. Levialdi and M.C. Maccarone (eds.), Plenum Press, New York, in press.

    Google Scholar 

  2. Ahuja, N. and Shachter, B.J. (1981), “Image models”, ACM Computing Surveys, 13, 363–398.

    Google Scholar 

  3. Andrews, H.C. and Hunt, B.R. (1977), Digital Image Restoration, Prentice-Hall, New Jersey.

    Google Scholar 

  4. Balestreri, M., Della Ventura, A., Fresta, G. and Mussio, P. (1979), “A proposed pictorial language for describing astronomical objects”, Image processing in Astronomy, G. Sedmak, M. Capaccioli and R.J. Allen (eds.), Osservatorio Astronomico di Trieste, Italy, 268–298.

    Google Scholar 

  5. Della Ventura, A., Rampini, A., Rabagliati, R. and Serandrei Barbero, R. (1987), “Development of a satellite remote sensing technique for the study of alpine glaciers”, International Journal of Remote Sensing, 8, 203–215.

    Google Scholar 

  6. Di Gesú, V. (1987), “Fuzzy sets and data analysis”, Astronomy from Large Data Bases: Scientific Objectives and Methodological Approaches, F. Murtagh and A. Heck (eds.), European Southern Observatory, Garching bei München, 183–197.

    Google Scholar 

  7. Fu, K.-S. (1982), Syntactic Pattern Recognition and Applications, Prentice Hall, New Jersey.

    Google Scholar 

  8. Garribba, S., Guagnini, E. and Mussio, P. (1985), “Multiple-Valued Logical Trees: meaning and prime implicants”, IEEE Transactions on Reliability, R-34, 463–469.

    Google Scholar 

  9. Godwin, J.G., Metcalfe, N. and J.V. Peach (1983), “The Coma cluster-I”, Monthly Notices of the Royal Astronomical Society, 202, 113–124.

    Google Scholar 

  10. Guagnini E., Mari L. and Mussio P. (1989), “Valutazione plausibile dei comportamenti di sistemi dinamici da loro descrizioni sincroniche”, Dinamica dei Sistemi, in press.

    Google Scholar 

  11. Hubble, E. (1936), The Realm of the Nebulae, Yale University Plenum Press, New Haven, CT.

    Google Scholar 

  12. King, I.R. and Raff, M.I. (1977) Publications of the Astronomical Society of the Pacific, 89, 120–121.

    Google Scholar 

  13. Kurtz, M.J. (1989), “Classification and knowledge”, this volume.

    Google Scholar 

  14. Merelli, D., Mussio, P. and Padula, M. (1985), “An approach to the definition, description, and extraction of structures in binary digital images”, Computer Vision, Graphics and Image Processing, 31, 19–49.

    Google Scholar 

  15. Michalski, R.S. (1980), “Pattern recognition as rule-guided inductive inference”, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2, 349–361.

    Google Scholar 

  16. Murtagh, F. and Lauberts, A. (1986), “A curve matching problem in astronomy”, Pattern Recognition Letters, 4, 456–469.

    Google Scholar 

  17. Mussio, P. (1985), “Design of a pattern-directed system for the interpretation of digitized astronomical images”, Data Analysis in Astronomy, V. Di Gesú, L. Scarsi, P. Crane, J.H. Friedman and S. Levialdi (eds.), Plenum Press, New York, 227–234.

    Google Scholar 

  18. Mussio, P., Padula, M. and Protti, M. (1989), “Attributed Conditional Lsystems. A tool for image description”, Proceedings of the 9th International Conference on Pattern Recognition, Rome, in press.

    Google Scholar 

  19. Pólya, G. (1945), How To Solve It, Princeton University Press, New Jersey.

    Google Scholar 

  20. Pradé, H. (1985), “A computational approach to approximate and plausible reasoning with application to expert systems”, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-7, 260–283.

    Google Scholar 

  21. Salomaa, A. (1973), Formal Languages, Academic Press, New York.

    Google Scholar 

  22. Sandage, A. and Sandage, M. (1983), Galaxies and the Universe, University of Chicago Press, Chicago.

    Google Scholar 

  23. Serra, J. (1982), Image Analysis and Mathematical Morphology, Academic Press, New York.

    Google Scholar 

  24. Thonnat, M. (1985), “Automatic morphological description of galaxies and Classification by an expert system”, Research Report, INRIA Sophia Antipolis, Valbonne, France.

    Google Scholar 

  25. Wirth, N. (1986), Algorithms and Data Structures, Prentice-Hall International Editions, New Jersey.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

A. Heck F. Murtagh

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer-Verlag

About this chapter

Cite this chapter

Accomazzi, A., Bordogna, G., Mussio, P., Rampini, A. (1989). An approach to heuristic exploitation of astronomers' knowledge in automatic interpretation of optical pictures. In: Heck, A., Murtagh, F. (eds) Knowledge-Based Systems in Astronomy. Lecture Notes in Physics, vol 329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-51044-3_24

Download citation

  • DOI: https://doi.org/10.1007/3-540-51044-3_24

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51044-4

  • Online ISBN: 978-3-540-46139-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics