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Proceedings Paper

Detection of fractures in borehole image
Author(s): Xiang Zhang; Xiaoling Xiao
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Paper Abstract

Fractures in borehole images are currently handpicked by geologists, which is a tedious and expensive task. Automatically detecting fractures in these images is not an easy task. We present a scheme for automatic fracture detection in borehole images. First, an adaptive histogram equalization method is applied to enhance borehole images which enhances the visibility of fractures in the images. Then, a direction filtering method is proposed to extract traces of fractures in borehole images. Finally, the fast Hough transform is taken to detect fractures from the results of direction filtering. Experiment results show that the scheme achieves the good results for automatic fracture detection in borehole images.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749541 (30 October 2009); doi: 10.1117/12.832608
Show Author Affiliations
Xiang Zhang, Yangtze Univ. (China)
Key. Lab. of Exploration Technologies for Oil and Gas Resources (China)
Xiaoling Xiao, Yangtze Univ. (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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