Eastern Macedonia and Thrace Institute of Technology
Abstract
The challenging process of 3D porous media reconstruction from a single 2D image is investigated in this paper. The
reconstruction of the 3D model is based on the statistical information derived from a 2D thin image of the material, by
applying a spatial correlation function. For the first time, this paper reviews the commonly used auto-correlation
functions for material characterization and discusses their properties making them useful for 3D porous media
reconstruction. A set of experiments is conducted in order to analyze the reconstruction capabilities of the studied
correlation functions, while some useful conclusions are drawn. Finally, by taking into account the reconstruction
performance of the existed correlation functions, some desirable properties that need to be satisfied by an ideal
correlation function towards the improvement of the reconstruction accuracy are determined