Galaxies, Human Eyes, and Artificial Neural Networks

  title={Galaxies, Human Eyes, and Artificial Neural Networks},
  author={O. Lahav and A. Naim and R. Buta and H. Corwin and G. de Vaucouleurs and A. Dressler and J. Huchra and S. van den Bergh and S. Raychaudhury and L. Sodr� and M. Storrie-Lombardi},
  pages={859 - 862}
  • O. Lahav, A. Naim, +8 authors M. Storrie-Lombardi
  • Published 1995
  • Computer Science, Physics, Medicine
  • Science
  • The quantitative morphological classification of galaxies is important for understanding the origin of type frequency and correlations with environment. However, galaxy morphological classification is still mainly done visually by dedicated individuals, in the spirit of Hubble's original scheme and its modifications. The rapid increase in data on galaxy images at low and high redshift calls for a re-examination of the classification schemes and for automatic methods. Here are shown results from… CONTINUE READING
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