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Three-dimensional Reconstruction of Microscopic Image Based on Multi-ST Algorithm

机译：基于多ST算法的微观图像三维重建

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摘要

Three-dimensional (3D) reconstruction is extensively used in microscopic applications. Reducing excessive error points and achieving accurate matching of weak texture regions have been the classical challenges for 3D microscopic vision. A Multi-ST algorithm was proposed to improve matching accuracy. The process is performed in two main stages: scaled microscopic images and regularized cost aggregation. First, microscopic image pairs with different scales were extracted according to the Gaussian pyramid criterion. Second, a novel cost aggregation approach based on the regularized multi-scale model was implemented into all scales to obtain the final cost. To evaluate the performances of the proposed Multi-ST algorithm and compare different algorithms, seven groups of images from the Middlebury dataset and four groups of experimental images obtained by a binocular microscopic system were analyzed. Disparity maps and reconstruction maps generated by the proposed approach contained more information and fewer outliers or artifacts. Furthermore, 3D reconstruction of the plug gauges using the Multi-ST algorithm showed that the error was less than 0.025 mm. (C) 2020 Society for Imaging Science and Technology.
机译：三维（3D）重建广泛用于微观应用。减少过度的错误点并实现弱纹理区域的准确匹配是3D微观视觉的经典挑战。提出了一种多ST算法来提高匹配精度。该过程以两个主要阶段执行：缩放的显微图像和正则化成本聚合。首先，根据高斯金字塔标准提取具有不同鳞片的微观图像对。其次，基于正则化多尺度模型的新型成本聚合方法实施到所有尺度中以获得最终成本。为了评估所提出的多ST算法的性能并比较不同的算法，分析了来自中间数据集的七组图像和由双目微观系统获得的四组实验图像。所提出的方法生成的差异图和重建图包含更多信息和更少的异常值或工件。此外，使用多ST算法的3D重建插头仪表显示误差小于0.025mm。 （c）2020年影像科技协会。

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  • 来源
    《Journal of Imaging Science and Technology》 |2020年第2期|020506.1-020506.7|共7页
  • 作者

    Zhu Min; Zhang Rongfu; Ma Pei; Zhang Xuedian; Guo Qi;

  • 作者单位

    Univ Shanghai Sci & Technol Minist Educ Key Lab Opt Technol & Instrument Med Shanghai 200093 Peoples R China;

    Univ Shanghai Sci & Technol Minist Educ Key Lab Opt Technol & Instrument Med Shanghai 200093 Peoples R China;

    Univ Shanghai Sci & Technol Minist Educ Key Lab Opt Technol & Instrument Med Shanghai 200093 Peoples R China;

    Univ Shanghai Sci & Technol Minist Educ Key Lab Opt Technol & Instrument Med Shanghai 200093 Peoples R China;

    Univ Shanghai Sci & Technol Minist Educ Key Lab Opt Technol & Instrument Med Shanghai 200093 Peoples R China;

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