Abstract
In this paper the comparison between the Faint Object Classification and Analysis System (FOCAS) and Source Extractor (SExtractor) packages for automated star–galaxy classification is discussed. The analysis presented here uses a data set containing 43 Abell clusters of galaxies obtained from the Digitized Sky Survey. Comparison is based on four image parameters: the magnitude, area, ellipticity and position angle computed for each object. Statistical analysis shows that in the case of individual clusters, in general, there is good correlation between parameters obtained from both packages. The comparison of visual classification with automatic classification from FOCAS shows that the percentage of misclassified galaxies is about 20.
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