Research on coal gangue recognition based on fractal dimension and microscopic pore structure

In order to further improve the recognition rate of coal gangue sorting based on image features, the analysis method of fractal dimension is combined with image processing and recognition technology, and the meso-pore structure characteristics of coal gangue image are selected as the main research object and recognition feature.After using the image processing technology to process the coal gangue image, the microscopic pore structure characteristics of the coal gangue image are highlighted to the maximum.Through the preliminary feature determination and comparison of the pore structure of some samples, the fractal geometry theory is used to compare the natural shape.The ability to describe self-similarity features, calculate the fractal dimension of the meso-pore structure of coal gangue images, and further highlight the differences in the meso-pore structure characteristics of coal gangue images.Finally, the gray-scale features, texture features and meso-pore structure features are combined for recognition and classification, and finally a higher recognition rate is obtained, which lays the foundation for further follow-up in-depth research and application of coal gangue recognition technology combined with fractal dimension.