Geometric Reconstruction Of Cement Microstructure Image Based On Edge Response Scattering Points Extraction And MLS

Cement is widely used as a basic building material, and its technical research has attracted much attention. Studying the macroscopic properties of cement via cement microstructure images is an effective research method in the field of computational materials science. As the research focus of cement microstructure, the research on the approximation and reconstruction of cement scatter image has become an important issue. To handle the high consumption in computing the huge amount of cement image data, this paper proposes a method for extracting scattered points of complex cement images. In addition, the model in this paper enables reconstructing the cement image by using those limited number of cement data points and moving least squares. In the experiment, the influence of edge influence threshold and tightly supported domain influence threshold on the approximation results are analyzed and evaluated. The experimental results show that the edge information characteristics of cement microstructure can effectively guide the reconstruction of cement images, and obtain good interpolation effects and reconstruction accuracy while improving calculation efficiency.