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3D-modeling of deformed halite hopper crystals by Object Based Image Analysis

机译:基于对象的图像分析对变形盐岩料斗晶体进行3D建模

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摘要

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.
机译:基于对象的图像分析(OBIA)是一种已建立的方法,用于分析一系列学科中的多尺度和多维图像。在本研究中,根据计算机断层扫描数据,该方法用于泥岩样品中的盐岩漏斗晶体的3D重建。为了定量评估OBIA结果的可靠性,将它们与相应的“金标准”进行了基准比较,“金标准”是通过手动专家对CT图像进行数字化处理而获得的岩盐晶体的参考3D模型。为了进行准确性评估,经典的按场景统计已扩展到按对象统计。 OBIA的优势在于能够识别所有类似于盐石料斗晶体的物体,尤其是消除裂纹。使用位于OBIA之上的支持向量机(SVM)分类器,可以有效地剔除不适合的物体,例如盐岩晶体团簇,多卤石涂层的晶体和球形盐岩晶体,但同时减少了形状良好的石的数量。

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