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- W2043979894 abstract "Object Based Image Analysis (OBIA) is an established method for analyzing multiscale and multidimensional imagery in a range of disciplines. In the present study this method was used for the 3D reconstruction of halite hopper crystals in a mudrock sample, based on Computed Tomography data. To quantitatively assess the reliability of OBIA results, they were benchmarked against a corresponding “gold standard”, a reference 3D model of the halite crystals that was derived by manual expert digitization of the CT images. For accuracy assessment, classical per-scene statistics were extended to per-object statistics. The strength of OBIA was to recognize all objects similar to halite hopper crystals and in particular to eliminate cracks. Using a support vector machine (SVM) classifier on top of OBIA, unsuitable objects like halite crystal clusters, polyhalite-coated crystals and spherical halite crystals were effectively dismissed, but simultaneously the number of well-shaped halites was reduced." @default.
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- W2043979894 date "2014-12-01" @default.
- W2043979894 modified "2023-09-27" @default.
- W2043979894 title "3D-modeling of deformed halite hopper crystals by Object Based Image Analysis" @default.
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- W2043979894 doi "https://doi.org/10.1016/j.cageo.2014.08.010" @default.
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