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Global Segmentation Algorithm for Partially Saturated Granular Geomaterials
A new global segmentation technique, namely refined statistics-based method is proposed. X-ray computed tomography (CT) images of partially saturated granular geomaterials are segmented using this technique. Index properties of the geomaterials are quantified using the new technique and compared with those of the Otsu- and iterative-Otsu techniques. For the tested silica sand specimen, the new-technique-estimated void ratio and the degree of saturation were 0.67 and 39.35%. The estimates for the glass bead specimen yielded 0.64 and 43.49%, respectively. The true void ratio (0.66) and degree of saturation (37.71%) were determined with user controlled Image-Pro software package. It was found that the proposed method estimated the void ratio and the degree of saturation with 1.52 and 4.35% errors for the silica sand and with 15.63 and 0.34% errors for the glass bead, respectively. The computational time of the proposed method was found to be shorter than other methods considered. Overall, it is concluded that the proposed technique performed better in segmenting three-phase granular geomaterials.
Global Segmentation Algorithm for Partially Saturated Granular Geomaterials
A new global segmentation technique, namely refined statistics-based method is proposed. X-ray computed tomography (CT) images of partially saturated granular geomaterials are segmented using this technique. Index properties of the geomaterials are quantified using the new technique and compared with those of the Otsu- and iterative-Otsu techniques. For the tested silica sand specimen, the new-technique-estimated void ratio and the degree of saturation were 0.67 and 39.35%. The estimates for the glass bead specimen yielded 0.64 and 43.49%, respectively. The true void ratio (0.66) and degree of saturation (37.71%) were determined with user controlled Image-Pro software package. It was found that the proposed method estimated the void ratio and the degree of saturation with 1.52 and 4.35% errors for the silica sand and with 15.63 and 0.34% errors for the glass bead, respectively. The computational time of the proposed method was found to be shorter than other methods considered. Overall, it is concluded that the proposed technique performed better in segmenting three-phase granular geomaterials.
Global Segmentation Algorithm for Partially Saturated Granular Geomaterials
Abera, Kokeb A. (author) / Manahiloh, Kalehiwot Nega (author) / Nejad, Mohammad Motalleb (author)
IFCEE 2018 ; 2018 ; Orlando, Florida
IFCEE 2018 ; 474-483
2018-06-06
Conference paper
Electronic Resource
English
Global Segmentation Algorithm for Partially Saturated Granular Geomaterials
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