Minimum image quality for reliable optical characterizations of soil particle shapes
Minimum image quality for reliable optical characterizations of soil particle shapes
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DOI：
10.1016/j.compgeo.2019.103110
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发表时间：
2019-10
影响因子：
5.3
通讯作者：
Quan Sun;Junxing Zheng;M. Coop;F. Altuhafi
中科院分区：
文献类型：
--
作者：
Quan Sun;Junxing Zheng;M. Coop;F. Altuhafi
在过去的十年中，基于图像的土壤颗粒形状自动表征方法取得了显着的进展。然而，基于图像的方法的准确性和可靠性很少受到质疑。研究表明，图像质量影响颗粒形状描述符的计算结果，包括纵横比，球形度，凸度，圆形度和圆度。这些描述符显示了对低图像质量影响的抵抗力的层次结构。颗粒长度、周长和面积被用作控制参数，用于量化图像质量的影响。建立了确保这些参数的可靠的基于图像的形状表征的最低要求。
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.