Recognition method of mesoscopic medium based on cellular automata correction method

摘要

Soil-rock mixture is a special kind of geological media, which is mixed of soil particles with weak intensity and rock blocks with strong stiffness and irregular shape. The rock blocks and soil particles cement with each other. The mechanical property of soil-rock mixture is different from rock and soil mass. This paper apply The digital image analysis technique is used to distinguish the features of rock and soil mass, and the model according to the corresponding relationship of cell and pixel is established, Then the numerical statistical laws of pixel can be obtained. As for the pixel between rock and soil mass that can't be distinguished distinctly, the cellular automata theory that with the mean function as the 2-dimensional transformation function is used to transform the image. Then the pixel of rock and soil mass can be distinguished. At the same time it can remove the effect of islanding pixels. Thus it can realize the more effective recognition for soil-rock mixture. It shows good effect through comparison.