We present a new approach to estimate geometry parameters of glass fibers in glass fiber-reinforced polymers from simulated X-ray micro-computed tomography scans. Traditionally, these parameters are estimated using a multi-step procedure including image reconstruction, pre-processing, segmentation and analysis of features of interest. Each step in this chain introduces errors that propagate through the pipeline and impair the accuracy of the estimated parameters. In the approach presented in this paper, we reconstruct volumes from a low number of projection angles using an iterative reconstruction technique and then estimate position, direction and length of the contained fibers incorporating a priori knowledge about their shape, modeled as a geometric representation, which is then optimized. Using simulation experiments, we show that our method can estimate those representations even in presence of noisy data and only very few projection angles available.

中文翻译：

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从 X 射线投影数据参数化重建玻璃纤维增​​强聚合物复合材料——模拟研究

我们提出了一种通过模拟 X 射线显微计算机断层扫描来估计玻璃纤维增​​强聚合物中玻璃纤维几何参数的新方法。传统上，这些参数是使用多步骤程序估计的，包括图像重建、预处理、分割和感兴趣特征的分析。此链中的每个步骤都会引入通过管道传播的错误并损害估计参数的准确性。在本文提出的方法中，我们使用迭代重建技术从少量投影角度重建体积，然后结合有关其形状的先验知识估计包含纤维的位置、方向和长度，建模为几何表示，然后进行优化。通过模拟实验，