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Fast Digital Image Processing Algorithms and Techniques for Object Recognition and Decomposition

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Data Analysis in Astronomy

Part of the book series: Ettore Majorana International Science Series ((EMISS,volume 24))

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Abstract

Fast digital algorithms are required in many applications of digital image processing, especially when many images of large si- ze are involved (as in astronomy data analysis) or real-time im- plementation is needed.

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References

  • Gonzales, R. C, 1982, “Digital Image Processing”, Addison-Wesley, London-Sydney.

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Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria Elettronica, Florence University and IROE — C.N.R., Florence, Italy

    V. Cappellini, A. Del Bimbo & A. Mecocci

Authors
  1. V. Cappellini
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  2. A. Del Bimbo
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  3. A. Mecocci
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Editor information

Editors and Affiliations

  1. Institute of Cosmic Physics and Informatics/CNR, University of Palermo, Palermo, Italy

    V. Di Gesù  & L. Scarsi  & 

  2. European Southern Observatory, Garching/Munich, Federal Republic of Germany

    P. Crane

  3. Stanford University, Stanford, California, USA

    J. H. Friedman

  4. University of Rome, Rome, Italy

    S. Levialdi

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© 1985 Plenum Press, New York

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Cappellini, V., Bimbo, A.D., Mecocci, A. (1985). Fast Digital Image Processing Algorithms and Techniques for Object Recognition and Decomposition. In: Gesù, V.D., Scarsi, L., Crane, P., Friedman, J.H., Levialdi, S. (eds) Data Analysis in Astronomy. Ettore Majorana International Science Series, vol 24. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-9433-8_38

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  • DOI: https://doi.org/10.1007/978-1-4615-9433-8_38

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4615-9435-2

  • Online ISBN: 978-1-4615-9433-8

  • eBook Packages: Springer Book Archive

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