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Minimum image quality for reliable optical characterizations of soil particle shapes

机译：最低图像质量，可对土壤颗粒形状进行可靠的光学表征

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摘要

Remarkable advances have been seen in image-based methods for automating soil particle shape characterizations in the last decade. However, the accuracy and reliability of image-based methods has rarely been questioned. This study shows that image quality affects the computational results of particle shape descriptors, including aspect ratio, sphericity, convexity, circularity, and roundness. These descriptors display a hierarchy of resistance to the effects of low image quality. The particle length, perimeter, and area are used as controlling parameters for quantifying the influence of image quality. The minimum requirements for ensuring reliable image-based shape characterization of these parameters are established.
机译：在过去的十年中，在基于图像的土壤颗粒形状表征自动化方法中取得了显着进展。但是，很少有人质疑基于图像的方法的准确性和可靠性。这项研究表明，图像质量会影响颗粒形状描述符的计算结果，包括长宽比，球形度，凸度，圆度和圆度。这些描述符显示了抵抗低图像质量影响的层次结构。颗粒长度，周长和面积用作控制参数，以量化图像质量的影响。建立了确保对这些参数进行可靠的基于图像的形状表征的最低要求。

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