Title :
The edge detection technology of CT image for study the growth of rock crack
Author :
Chun, Bai ; Xiaoyue, Liu
Author_Institution :
Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan, China
Abstract :
Coal seam is a dynamic and nonlinear system, building a analysis model tally with the actual situation is necessary to numerical simulation. the growth of rock crack is the most informasion for coal mine safety, image processing technology of rock crack is introduced into the analysis of growth of crack, it use the algorithm of wavelet transform to detect the edge of CT image, the crack would be quantitative measured. Simulation verifies the effectiveness of the model.
Keywords :
coal; computerised tomography; cracks; edge detection; image processing; mining industry; rocks; wavelet transforms; CT image processing; coal mine rock crack; coal mine safety; coal seam; dynamic system; edge detection technology; image processing technology; nonlinear system; numerical simulation; wavelet transform; Algorithm design and analysis; Computed tomography; Image analysis; Image edge detection; Image processing; Nonlinear dynamical systems; Nonlinear systems; Numerical simulation; Safety; Wavelet analysis; CT image; Wavelet transform; edge extraction; growth of rock crack;
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
DOI :
10.1109/CCCM.2009.5267644
