  Over the last decade, the Concentration, Asymmetry and Smoothness (CAS), as
well as the M20 and GINI parameters have become popular to automatically
classify distant galaxies in images. Ellipticals, spirals and irregular
galaxies all appear to occupy different regions of this parameter space. At the
same time, the Source Extractor (SE) program has become the mainstay to produce
ob ject catalogs from large image surveys. A logical next step would be to
incorporate the structural parameters into the Source Extractor software. There
are however several problems that arise: 1) the CAS parameters are fits to the
images and Source Extractor eschews fits in the interest of speed, 2) the
definition of the structural parameters changed over time. Now that there is a
clear and agreed-upon definition of the structural parameters, I am
incorporating computed versions in the Source Extractor code (v2.5). The fitted
CAS parameters are available for the GOODS-N/S fields and I compare the
computed structural parameters to those found by the previous fits. My goal is
to expand the source structure information in Source Extractor catalogs in
order to improve automatic identification of sources, specifically of distant
galaxies. The computed parameters perform reasonably close to the fitted
versions but noise appears in faint ob jects due to a lack of information. For
a subset of objects, the asymmetry signal is outside the SE boundaries and
Smoothness still fails to compute for many ob jects. Type classification based
on the SE parameters still lacks resolving power.
