In this paper, a novel automatic segmentation and reconstruction method is proposed for diffraction contrast tomography (DCT) technology. The pipeline of the proposed method starts from the imaging of Al−La alloy with the LabDCT technique from Carl Zeiss AG, which produces a sequence of 2D microstructure sections. Then, a segmentation algorithm based on superpixel and lifted multicut is proposed to extract the 2D microstructure in an image section. Finally, 2D segmentations are joined together to reconstruct and visualize the 3D microstructure. As a result, a novel morphology of Al−La alloy is recovered with both dendrite and lamellar morphologies. The proposed method has the advantage of the ability to losslessly recover the internal microstructure.

中文翻译：

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基于提升多割的DCT图像分割与重构

本文提出了一种新的自动分割和重建方法，用于衍射对比层析成像（DCT）技术。所提出方法的流程始于使用Carl Zeiss AG的LabDCT技术对合金A l - L进行成像，产生一系列2D显微组织截面。然后，提出了一种基于超像素和提升多切口的分割算法，以提取图像截面中的二维微结构。最后，将2D分割结合在一起，以重建和可视化3D微观结构。结果，A l - L a的新形态回收的合金具有枝晶和层状形态。所提出的方法的优点在于能够无损地恢复内部微结构。