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Surface Reconstruction of Cement Microstructure Based on Moving Least Squares

Proceedings of the 2nd International Conference on Big Data Technologies(2019)

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摘要
As an important building-based material, cement has a wide range of applications. Since the micro structure of cement has significant effect on its comprehensive performance, the research on cement microstructure evolution has become extremely important [1]. As the basis of the research of cement micro structure evolution, the surface fitting of cement image is of great significance. The cement micro structure image has features with multi-scale and multi-object, thus its surface fitting becomes difficult. The moving least squares (MLS) has unique advantages for surface fitting with large amount of discrete data and complex shapes. Therefore, this paper adopts the moving least squares method to achieve the surface fitting of cement images. Through the reasonable selection of the basis function and the weight function, a great fitting effect is achieved, which provides a foundation of exploration on complex surface fitting of cement images.
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关键词
Micro structure of Cement, Moving Least Squares, Surface Reconstruction
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