Multi-scale visual feature extraction algorithm for coal rock fracture deformation in coal comprehensive mining engineering
The coal resource exploration and mining industry is one of the pillar industries for the country's stable development.With the gradual depletion of shallow coal resource reserves,coal resource mining is developing towards deep regions.Due to the increasing complexity of geological conditions,the fracture deformation of coal rock is gradually increasing,posing a threat to the safety of coal comprehensive mining engineering.Therefore,a multi-scale visual feature extraction algorithm for coal rock fracture deformation in coal comprehensive mining engineering is proposed.Preprocess the original coal rock image(grayscale processing,sharpening enhancement processing and noise removal processing),on this basis,segment the coal rock image based on the C-V model,obtain the target image of coal rock fracture deformation,map it to the space range through the Gaussian kernel function,complete the construction of multi-scale visual space,and apply MSRFE algorithm to detect and determine the multi-scale visual characteristics of coal rock fracture deformation,the extraction of multi-scale visual features of coal rock fracture deformation has been therefore achieved.The experimental data shows that the determination results of coal rock fracture deformation targets obtained by applying the proposed algorithm can clearly label the boundaries of all fracture deformations,and the maximum completeness of multi-scale visual feature extraction reaches 99％,fully proving that the proposed algorithm has a better application performance.
万方数据
维普
