Nov 7, 2023 · The possibilistic fuzzy c-means clustering (PFCM) algorithm is a hybridization of possibilistic c-means clustering (PCM) and fuzzy c-means clustering (FCM) algorithms. However, there are two main problems in PFCM. One is that the Euclidean ...
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Ver másApr 1, 2014 · Ojeda-Magana et al. (2014) reconstructed 3D macropore spaces using PFCM (Possibilistic Fuzzy C-Means) partitional clustering based on soil CT images. The geometric characteristics of soil macropores, including the macropore radius, length, tortuosity and retention curve, can be analyzed with a 3D reconstruction model (Ngom et al., 2011).
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Apr 1, 2014 · The methodology presented here can better detect the solid soil and pore spaces on CT images, enabling the generation of better 2D?3D representations of pore structures from segmented 2D images. Recent advances in non-destructive imaging techniques, such as X-ray computed tomography (CT), make it possible to analyse pore …
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