Particle classification and segmentation of hydrated cement based on SLIC and multivalued data processing

Cement-based materials are widely used in production and life, but the production process has caused great harm to the environment. Moreover, the existing cement varieties will have various quality problems after several years of wind and sun exposure. Therefore, the study of high-quality cement is of great significance for energy conservation and emission and improving the quality and durability of cement. Many global teams are conducting relevant research, but they try to solve this problem from the perspective of pure materials, which requires a large number of physical and chemical experiments. In this paper, we try to solve this problem in another way. We combine the advanced technology of modern computer science with material and provide a feasible idea and new solution from computer science. We use the cement data obtained by scanning electron microscope to obtain the phase inside the cement through specific analysis means(C3S, C2S, C4AF, C3A, and gypsum). Furthermore, it provides a new method for material scientists to study the influence of internal substances of cement on properties.