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Automatic Fiber Length Measurements with a Multi-Stencil Fast Marching Method on Microscopy Images

机译:具有多模板快速游行方法的自动光纤长度测量在显微镜图像上

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摘要

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.
机译:纤维长度对复合材料的机械性能产生强烈影响。 它是表征微观结构的最重要的定量特征之一,以了解材料性能。 进行以确定纤维长度分布的研究主要集中于样品制备和纤维分散体。 然而,随后的图像分析经常手动或半自动地进行,需要仔细的样品准备或手动干预图像分析和处理。 在本文中,通过Multi-Stencence快速游行方法在获取的显微镜图像上的光纤长度测量的多模板快速游行方法开发了图像处理和分析方法。 开发方法可以完全自动实现,没有任何用户感应延迟。 该方法提供高效率,子像素精度和优异的统计表示性。

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