Multifractal analysis of three-dimensional grayscale images: Characterization of natural porous structures

TL;DR

This paper introduces a multifractal analysis method for 3D grayscale images of natural porous structures, using CT scans to characterize and differentiate between structure families, supported by a new software tool.

Contribution

The paper presents a novel application of multifractal analysis to 3D grayscale images of porous structures and introduces Munari, a new software for this purpose.

Findings

Successful differentiation of structure families using MFA

Development of a new software tool Munari

Enhanced characterization of porosity features

Abstract

A multifractal analysis (MFA) is performed on three-dimensional grayscale images associated with natural porous structures (soil samples). First, computed tomography (CT) scans are carried out on the samples to generate 3D grayscale images. Then, a preliminary analysis is conducted to evaluate key quantities associated with the porosity, such as void fraction, pore volume, connectivity, and surface area. Finally, the samples are successfully identified and separated into two different structure families by using the MFA. A new software (Munari) to carry out the MFA of 3D grayscale images is also presented.