三维灰度图像的多重分形分析：天然多孔结构的表征
Multifractal analysis of three-dimensional grayscale images: Characterization of natural porous structures
摘要：
多重分形分析（MFA）进行与自然多孔结构（土壤样品）的三维灰度图像。首先，对样品进行计算机断层成像（CT）扫描以生成3D灰度图像。然后，进行初步分析，以评估与孔隙率相关的关键量，如空隙率，孔体积，连通性和表面积。最后，利用MFA成功地将样品区分为两个不同的结构族。一个新的软件（Munari）进行MFA的三维灰度图像。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
