In foamed concrete, porosity is essential because it is strongly related to other properties such as density, permeability, and strength. Porosity measurement (usually expressed as a percentage of total volume) is obtained in a laboratory using experimental water vacuum saturation and MIP methods. However, pore structure -including size, distribution, shape, and connection- is also needed to understand foamed concrete performance. Pore structure characterization is estimated through specialized digital image analysis. Micro CT, scanning electron microscopy or X-ray tomography images are frequently used to obtain pore structure on cellular concrete. However, these images are highly specialized and require equipment that is not easy to find and very expensive. Also, image processing is complex, and it includes some specialized software. This paper presents a pore structure characterization and porosity estimation using non-specialized digital images on foamed cement paste made with alternative agents. The procedure for acquiring images uses only a camera without any specialized equipment. The proposed methodology isolates the pores in the image and measures shape features such as pore diameter, eccentricity, and solidity. Acquiring and processing the images is simpler, faster, and cheaper than other specialized analyses. Results show that the volumetric porosity estimation was entirely accurate, with an estimation deviation of less than 10%. Also, the pore structure parameters such as pore size and distribution of foamed pastes can be quantified accurately.

在泡沫混凝土中，孔隙率是必不可少的，因为它与密度、渗透性和强度等其他特性密切相关。孔隙度测量值（通常表示为总体积的百分比）是在实验室中使用实验水真空饱和度和 MIP 方法获得的。然而，孔隙结构——包括尺寸、分布、形状和连接——也需要了解泡沫混凝土的性能。通过专门的数字图像分析估计孔隙结构特征。显微 CT、扫描电子显微镜或 X 射线断层扫描图像经常用于获得多孔混凝土的孔隙结构。然而，这些图像是高度专业化的，需要不易找到且非常昂贵的设备。此外，图像处理很复杂，它包括一些专门的软件。本文介绍了使用非专业数字图像对用替代剂制成的泡沫水泥浆进行孔隙结构表征和孔隙率估计。获取图像的过程仅使用相机，没有任何专门的设备。所提出的方法隔离图像中的孔隙并测量形状特征，例如孔径、偏心率和实心度。与其他专业分析相比，获取和处理图像更简单、更快且成本更低。结果表明，体积孔隙度估计完全准确，估计偏差小于10%。此外，还可以准确量化泡沫浆料的孔径和分布等孔结构参数。