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The robustness of the GLCM and XCT method for the quantification of 3D mineral texture

机译:GLCM和XCT方法的稳健性,用于量化3D矿物质

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Mineral textural quantification methods have become critical in both geosdences and downstream mineral processing. The aim of this study is to investigate the robustness of using the X-ray computed tomography (XCT) and the grey level co-occurrence matrices (GLCM) method for the quantification of mineral texture in 3D. This can be achieved by testing the quality of the data that the GLCM outputs (statistics and heat maps) provides in response to changes in XCT conditions (e.g. artefacts, resolution, dual energy, calibration), as well as its response to different mineral texture types (e.g. anisotropic features). These findings will lead to a better understanding of how the GLCM captures the mineral texture information and assess the best conditions for the XCT analysis. It will further establish the versatility of the method to other mineral texture types and the factors affecting the underlying generic elements (e.g. grain size and mineralogy).
机译:矿物质量化方法在地磁和下游矿物加工方面变得至关重要。本研究的目的是研究使用X射线计算机断层摄影(XCT)和灰度共发生矩阵(GLCM)方法的鲁棒性,以便在3D中定量矿物纹理。这可以通过测试GLCM输出(统计和热图)的数据质量来实现响应于XCT条件的变化(例如人工制品,分辨率,双能,校准)以及对不同矿物质地的响应来实现类型(例如各向异性特征)。这些发现将更好地了解GLCM如何捕获矿物质纹理信息,并评估XCT分析的最佳条件。它将进一步建立对其他矿物纹理类型的方法的多功能性以及影响底层通用元素的因素(例如晶粒尺寸和矿物学)。

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