Cooperation of knowledge based systems for galaxy classification

  • Jean-Christophe Ossola
  • Monique Thonnat
Miscellaneous Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 974)


Astronomical observing systems provide astronomers with a great amount of high quality data. Thus, there is a need for automating data processing. In this paper, we are interested in the galaxy classification problem which is important for universe understanding. The classification consists of two main steps: parameter extraction for object description and data interpretation for object recognition. We present a cooperative architecture based on two knowledge-based systems for automatic classification. The first system is specialized in computer vision and allows parameter extraction. The second is dedicated to galaxy classification. This paper shows our methods and the main components of both knowledge-based system mentioned above.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Jean-Christophe Ossola
    • 1
  • Monique Thonnat
    • 1
  1. 1.INRIASophia AntipolisFrance

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