Astronomical Image Processing for High-Accurate Astrometry Data

Abstract

ABSTRACT. This article presents the main results of the initial processing of some of the astronomical images obtained from the archive of the digitized photographics survey of the whole sky SuperCOSMOS. Using of the median filtering and gausian convolution procedure with the adaptive kernel allows to carry out the initial processing of astronomical images without calibration frames. After the initial processing, the photocenters of the celestial objects were identified by various methods. It has been concluded that after the use of the mathematical methods for the initial processing of the digitized photographics images, the position of objects is calculated with a higher random and systematic precision.