Characterization of iron ore pellets by multimodal microscopy and image analysis

Abstract A correlative approach employing optical microscopy and scanning electron microscopy is proposed for the quantification of phases and pores in iron ore pellets. Combining mosaic images covering the full cross-sections of pellets, obtained with both techniques, it is possible to improve the discrimination of pores, quartz and silicates. First, the images must be carefully registered to show the exact same regions. The procedure for registration, discrimination and quantification was developed with Fiji open source software. A qualitative and quantitative analysis confirmed the advantages of the correlative method as compared to the individual techniques.摘要：本研究提出一种关联分析方法，结合光学显微镜与扫描电子显微镜，实现铁矿球团矿内物相与孔隙的定量分析。通过整合两种技术获取的覆盖球团矿完整横截面的拼接图像，可提升对孔隙、石英及硅酸盐的区分能力。首先，需对图像进行精准配准，以保证呈现的区域完全一致。本研究借助开源软件Fiji开发了图像配准、区分与定量流程。定性与定量分析均证实，相较于单一技术手段，该关联分析方法具有显著优势。