... Among the many celestial objects in the universe, galaxies offer insights as to how the universe was formed and is continuing to develop. ... The automated procedure described here uses an image enhancing technique, segmentation, shape feature extraction and a supervised artificial neural network to classify the galaxies. When trained to classify galaxies as E/S0 or S, the network is able to learn 98.3% of the galaxies correctly and identify 89.9% of galaxy images in a test set. ... Network 2 . ...