Fiber length has a strong impact on the mechanical properties of composite materials. It is one of the most important quantitative features in characterizing microstructures for understanding the material performance. Studies conducted to determine fiber length distribution have primarily focused on sample preparation and fiber dispersion. However, the subsequent image analysis is frequently performed manually or semi-automatically, which either requires careful sample preparation or manual intervention in the image analysis and processing. In this article, an image processing and analysis method has been developed based on medial axis transformation via the multi-stencil fast marching method for fiber length measurements on acquired microscopy images. The developed method can be implemented fully automatically and without any user induced delays. This method offers high efficiency, sub-pixel accuracy, and excellent statistical representativity.

中文翻译：

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使用显微镜图像上的多模板快速行进法自动测量光纤长度

纤维长度对复合材料的力学性能有很大的影响。它是表征微观结构以了解材料性能的最重要的定量特征之一。为确定纤维长度分布而进行的研究主要集中在样品制备和纤维分散上。然而，随后的图像分析通常是手动或半自动执行的，这要么需要仔细的样品制备，要么需要人工干预图像分析和处理。在本文中，通过多模板快速行进方法开发了一种基于中轴变换的图像处理和分析方法，用于在获得的显微镜图像上测量纤维长度。所开发的方法可以完全自动实施，没有任何用户引起的延迟。