AUTOMATED GALAXY CLASSIFICATION WITH THE APS DIGITIZATION OF POSS-I

Current efforts to perform automatic galaxy classification with the Mi nnesota Automated Plate Scanner (APS) are reviewed. The acquisition, c alibration, and measurement of O and E band imagery for galaxies with isophotal diameters (mu B = 24.5 mss) larger than 25'' are briefly rev iewed. A sample of galaxies classified from an O band print of the POS SI field containing the Coma cluster (P323) is discussed. It is shown that a variety of two-dimensional photometric parameter spaces provide a crude segregation of Hubble types. Initial results are presented on the training and testing of two artificial neural networks developed to mall input image parameter vectors to an 8 step morphological scale .