Detection of fractures in borehole image

Xiang Zhang; Xiaoling Xiao

doi:10.1117/12.832608

30 October 2009 Detection of fractures in borehole image

Xiang Zhang, Xiaoling Xiao

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 749541 (2009) https://doi.org/10.1117/12.832608
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Xiang Zhang and Xiaoling Xiao "Detection of fractures in borehole image", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749541 (30 October 2009); https://doi.org/10.1117/12.832608

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