Data Extraction from Carte Du Ciel Triple Images

Abstract

Carte du Ciel (from French, map of the sky) is a part of a 19th
century extensive international astronomical project whose goal was to map
the entire visible sky. The results of this vast effort were collected in the
form of astrographic plates and their paper representatives that are called
astrographic maps and are widely distributed among many observatories and
astronomical institutes over the world. Our goal is to design methods and
algorithms to automatically extract data from digitized Carte du Ciel astrographic maps.
This paper examines the image processing and pattern recognition techniques
that can be adopted for automatic extraction of astronomical data from
stars’ triple expositions that can aid variable stars detection in Carte du Ciel maps.