Local 3D segmentation of soil pore space based on fractal properties using singularity maps

Two different 3D CT soil images were also used in this analysis, corresponding to samples of the same soil with 1.2 and 1.6 g cm− 3 bulk densities. After applying the Singularity-CV method to the GV images, the results were compared with the aforementioned traditional segmentation methods. The image comparison was based on the porosity, pore size distribution (PSD) and cumulative pore size distribution (CPSD). The Otsu method achieves a higher porosity than the Singularity-CV method because it defines the largest pores. However, the Singularity-CV method detected more pores at all sizes. The maximum entropy method always yielded the lowest porosity.