Effect of the image resolution on the statistical descriptors of heterogeneous media.

Abstract

The characterization and reconstruction of heterogeneous materials, such as porous media and electrode materials, involve the application of image processing methods to data acquired by SEM or other microscopy techniques. Among them, binarization and decimation are critical in order to compute the correlation functions that characterize the micro-structure of the abovementioned materials. In this study, we present a theoretical analysis of the e_ects of the image size reduction, due to the progressive and sequential decimation of the original image. Three di_erent decimation procedures (random, bilinear and bicubic) were implemented and their consequences on the discrete correlation functions (two-points, line-path and pore-size distribution) and the coarseness (derived from the local volume fraction) are reported and analyzed. The chosen statistical descriptors (correlation functions and coarseness) are typically employed to characterize and reconstruct heterogeneous materials.