Recognizing chromospheric objects via Markov chain Monte Carlo

The solar chromosphere consists of three classes which contribute differentially to ultraviolet radiation reaching the Earth. We describe a data set of solar images, means of segmenting the images into the constituent classes, and a novel high-level representation for compact objects based on a triangulated spatial 'membership function.' Such representations are fitted in a variable-dimension Markov chain Monte Carlo scheme.