  Methods currently in use for locating and characterising sources in radio
interferometry maps are designed for processing images, and require
interferometric maps to be preprocessed so as to resemble conventional images.
We demonstrate a Bayesian code - BaSC - that takes into account the
interferometric visibility data despite working with more computationally
manageable image domain data products. This method is better able to
discriminate nearby sources than the commonly used SExtractor, and has
potential even in more complicated cases. We also demonstrate the correctness
of the Bayesian resolving formula for simulated data, and its implications for
source discrimination at distances below the full width half maximum of the
restoring beam.
