Title :
Research on the Forecast Model of Coal Mine Roof Based on Image Processing
Author :
Xiaoyue, Liu ; Tiaoyang, Cai
Author_Institution :
Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan
Abstract :
Coal seam is a dynamic and nonlinear system, building an analysis model tally with the actual situation is necessary to numerical simulation. In this paper, self-organizing neural network is employed to build a prediction model for mine roof. Moreover, digital image processing technology is introduced into the analysis on roof crack, it use the method of multi-scale wavelet transform to detect the image edge that would be quantitative measured. Simulation verifies the effectiveness of the model.
Keywords :
cracks; edge detection; image processing; mining industry; neural nets; roofs; structural engineering computing; wavelet transforms; coal mine roof; coal seam; digital image processing technology; dynamic system; image edge detection; multiscale wavelet transform; nonlinear system; roof crack; self-organizing neural network; Digital images; Image analysis; Image edge detection; Image processing; Neural networks; Nonlinear dynamical systems; Nonlinear systems; Numerical simulation; Predictive models; Wavelet analysis; Mine roof; edge extraction wavelet transform; image process; self-organizing neural network;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1102
