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

Volume

1

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

66

Lastpage

69

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.1102

Filename

4721693