Extraction Algorithm for Fractures in Mineral Rock 3D Images Based on Fractional Order Differential and Cluster Analysis
Aiming at the problem that the shallow crack is easy to misjudge due to the large shadow and non-uniform background in the 3D image of mineral rock,a crack extraction algorithm based on fractional differentiation and cluster analysis is proposed in this paper.Firstly,the fractional differential minimum domain value method is used to eliminate the background noise and enhance the crack edge information.Secondly,the MASK smoothing algorithm is improved to improve the adaptive a-bility of the algorithm and further improve the image contrast.Finally,K-means clustering analysis algorithm is adepted to ex-tract cracks from 3D images of mineral rocks.The experimental results show that this method can effectively reduce the influ-ence of shadow on crack extraction under low light conditions,and has a smooth effect on noise.The accuracy rate of crack ex-traction in actual 3D images of mineral rock is up to 91.5%,which provides an effective method for image information extrac-tion and interpretation analysis of mineral rock.
3D image of mineral rockfractional differentiationcluster analysiscrack extraction
万方数据
维普
