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Automatic Morphological Classification of Galaxies

Published online by Cambridge University Press:  26 July 2016

S. Okamura
Affiliation:
Department of Astronomy, School of Science, University of Tokyo, Tokyo 113, Japan
M. Doi
Affiliation:
Department of Astronomy, School of Science, University of Tokyo, Tokyo 113, Japan Department of Astrophysical Sciences, Princeton University, Princeton, U.S.A.
M. Fukugita
Affiliation:
Yukawa Institute for Theoretical Physics, Kyoto University, Kyoto 606, Japan
N. Kashikawa
Affiliation:
Department of Astronomy, School of Science, University of Tokyo, Tokyo 113, Japan
M. Sekiguchi
Affiliation:
National Astronomical Observatory, Mitaka, Tokyo 181, Japan
K. Shimasaku
Affiliation:
Department of Astronomy, School of Science, University of Tokyo, Tokyo 113, Japan
N. Yasuda
Affiliation:
Department of Astronomy, School of Science, University of Tokyo, Tokyo 113, Japan

Abstract

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We study the performance and limitations of the morphological classification method based on luminosity concentration and mean surface brightness. In particular, the effects of the different colour bands and of a finite seeing are investigated.

Type
Part Five: Image Detection, Cataloguing and Classification
Copyright
Copyright © Kluwer 1994 

References

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