Issue 51

R. Basirat et alii, Frattura ed Integrità Strutturale, 51 (2020) 71-80; DOI: 10.3221/IGF-ESIS.51.06

Figure 3: CT-Scan devise

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Region 2

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Figure 4: CT-Scan devise, core samples, and digital images output of the CT-scan

M ETHODOLOGY

Calculation of Fractal Dimension (D) using Digital Image Processing ractal dimension is a very important parameter in the rock fracture system characterization since it describes how fractures are distributed in the outcrop. The spatial scaling feature can be characterized by the fractal dimension (D). The geometry of fractals is described by power-law distribution and the potential D is represented by [20]: dimension, and C is a constant of proportionality. Fracture patterns are classical examples of the successful application of Box Counting on the micro-scale to mega-scale and to various materials [21-24]. In this research, a MATLAB code was developed to provide a good and easily manageable estimation of the fractal dimension of FN based on image processing. Digital face mapping is a practical tool to characterize F D i i N C r  (1) where N i is the number of objects (here is the number of fractures) with a characteristic linear dimension r i , D is the fractal

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