Title :
Wavelet Analysis on Crack Image of Coal Mining Roof
Author :
Zhang Tie-ju ; Sun Jie
Author_Institution :
Dept. of Comput. Sci., Tangshan Secondary Coll., Tangshan
Abstract :
Appling an image edge detection algorithm based on the wavelet transform to crack image of roof in coal in the paper. Digital image processing technology was introduced to the research on crack image of roof rock in this paper, which is independent from lithology and mechanical characteristics of certain rocks. Firstly, the crack image would be divided into different frequency band by wavelet transform, and would be filtered by frequency characteristic. At last, the edge extraction of the image completed.
Keywords :
coal; cracks; edge detection; filtering theory; mining; wavelet transforms; coal mining roof; crack image; digital image processing technology; edge extraction; frequency characteristics; image edge detection algorithm; wavelet transform; Continuous wavelet transforms; Discrete wavelet transforms; Educational institutions; Force measurement; Frequency; Image analysis; Image edge detection; Signal resolution; Wavelet analysis; Wavelet transforms; crack image; image edge detection; the wavelet transform;
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
DOI :
10.1109/WKDD.2009.194
