Soil particle shape analysis was conducted on two calcareous sands from Dissa and Matmata in Tunisia and one silica sand from Jumunjin in Korea using an image analysis method. This technique uses complex Fourier shape descriptors and image analysis of sand grains SEM photographs to provide accurate quantification of particle morphology and texture. The Fourier descriptors, denoted “Signature Descriptors”, provide measures of Elongation, Triangularity, Squareness, and Asymmetry and identify the overall shape of soil particles. A summary of higher-order descriptors provides textural information linked up to local roughness and texture characteristics. After analyzing the Fourier descriptors, elongation was found to be the major characteristics of the three sands, mainly for the Dissa and Matmata carbonate sands. In addition, the elongation signature descriptors for the Dissa and Matmata sands have very high values compared to those of Ras Alkhair (Saudi Arabia) and Dog’s bay (Ireland) sands. Therefore, the Dissa and Matmata carbonate sands have higher angles of friction and higher critical state angle of friction than Ras Alkhair and Dog’s bay sands. Furthermore, the Dissa and Matmata carbonate sands show higher roughness than Jumunjin’s silica sand.

使用图像分析方法对突尼斯Dissa和Matmata的两种钙质砂和韩国Jumunjin的一种二氧化硅砂进行了土壤颗粒形状分析。该技术使用复杂的傅立叶形状描述符和沙粒SEM照片的图像分析来提供颗粒形态和织构的准确定量。傅立叶描述符（称为“签名描述符”）提供了伸长率，三角度，垂直度和不对称性的度量，并标识了土壤颗粒的整体形状。高阶描述符的摘要提供了与局部粗糙度和纹理特征相关的纹理信息。通过分析傅立叶描述子，发现伸长率是这三种砂的主要特征，主要是迪沙和马特玛塔碳酸盐砂。此外，与Ras Alkhair（沙特阿拉伯）和Dog's bay（爱尔兰）的砂相比，Dissa和Matmata砂的伸长率特征值具有很高的值。因此，Dissa和Matmata碳酸盐砂具有比Ras Alkhair和Dog's海湾砂更高的摩擦角和更高的临界状态摩擦角。此外，Dissa和Matmata碳酸盐砂比Jumunjin的硅砂具有更高的粗糙度。