Abstract
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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© 1995 Springer-Verlag Berlin Heidelberg
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Ossola, JC., Thonnat, M. (1995). Cooperation of knowledge based systems for galaxy classification. In: Braccini, C., DeFloriani, L., Vernazza, G. (eds) Image Analysis and Processing. ICIAP 1995. Lecture Notes in Computer Science, vol 974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60298-4_334
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DOI: https://doi.org/10.1007/3-540-60298-4_334
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