通过优化匹配实现岩心薄片与三维图像精准对齐，提升数字岩石物理分析精度。
Image registration of 2D optical thin sections in a 3D porous medium: Application to a Berea sandstone digital rock image
- 用差分进化算法寻找3D中与2D薄片最相似的平面进行配准。
- 在贝雷砂岩上实现SSIM达0.990，验证了方法有效性。
- 适合需要融合光学与CT图像的地质建模与弹性参数研究者。
本研究提出一种系统性图像配准方法，用于对齐三维数字岩心体内的二维光学薄片图像。采用模板匹配结合差分进化优化，识别出三维空间中最相似的二维平面。该方法在合成多孔介质上实现完全配准，在贝雷砂岩样本中获得0.990的结构相似性指数（SSIM）。基于配准后的多模态图像，研究了尺度升级特性，重点关注孔隙特征和有效弹性模量。结果显示，薄片图像揭示的孔隙度比注册后的断层图像高50%，且存在亚微米级孔隙；薄片获取的体积模量和剪切模量分别比CT图像低25%和30%。除数值差异外，薄片图像还提供了水泥化、矿物相及风化作用等CT无法清晰呈现的地质信息。本研究展示了多模态图像配准在数字岩石物理中整合互补成像手段、改善计算岩性参数的潜力。
原文摘要 · Abstract (English)
This study proposes a systematic image registration approach to align 2D optical thin-section images within a 3D digital rock volume. Using template image matching with differential evolution optimization, we identify the most similar 2D plane in 3D. The method is validated on a synthetic porous medium, achieving exact registration, and applied to Berea sandstone, where it achieves a structural similarity index (SSIM) of 0.990. With the registered images, we explore upscaling properties based on paired multimodal images, focusing on pore characteristics and effective elastic moduli. The thin-section image reveals 50 % more porosity and submicron pores than the registered CT plane. In addition, bulk and shear moduli from thin sections are 25 % and 30 % lower, respectively, than those derived from CT images. Beyond numerical comparisons, thin sections provide additional geological insights, including cementation, mineral phases, and weathering effects, which are not clear in CT images. This study demonstrates the potential of multimodal image registration to improve computed rock properties in digital rock physics by integrating complementary imaging modalities.
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