Discretization of Function Based Astronomical Objects Using Procedural Modelling

摘要

Many classification methods are designed for processing the huge quantities of data generated by modern astronomical instruments. Digital photography provides the tools for describing how a particular image structure is configured, and, therefore, how it relates to the characteristics of a particular astronomical object. An algorithm to discretize function based astronomical objects is developed and named as procedural astro object discretization. The generated functional representation of this astronomical object provides compact, precise, and arbitrarily parameterized models, which can undergo blending, deformations, and other geometric operations. The problem of distinguishing the stars from galaxies and some techniques that have been applied to it are briefly reviewed. A simplical complex converts the function of a heterogeneous object into a cellular model. The obtained complex is optimized using edge swapping, edge splitting, edge collapsing and vertex relocation operations. This approach can easily distinguish stars and galaxies on digitized photographic plates. It is also widely applicable to other discretization problems, especially when the data being classified are not completely homogeneous.