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Rock fracture image acquisition using two kinds of lighting and fusion on a wavelet transform

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Abstract

In order to obtain more precise information regarding rock fractures, images of a rock sample using two different light sources were acquired and fused. For image acquisition, an epoxy resin liquid was first injected into a fracture zone in situ, and when the epoxy resin was dry, the rock core sample, including the epoxy resin, was removed from the rock base. The rock core sample was then cut into multiple slices and images of the slices using ultraviolet (UV) and visible lighting were acquired. In order to fuse two slice images, an algorithm based on the redundant lifting, non-separable wavelet transform was studied and utilised. Fusion includes three primary steps for each pair of slice images: (1) applying the redundant lifting, non-separable wavelet transform to each image, and then approximating the two images separately; (2) fusing the approximated images corresponding to the decomposition level using certain rules and fusion operators for obtaining fusion coefficients; and (3) applying the fused wavelet coefficients to the redundant lifting non-separable wavelet transform. The results show that combining the proposed method of image acquisition and the image fusion algorithm is not only effective at obtaining a large volume of detailed rock fracture information, it is also an economical and easy to use method. By applying the new method, rock fractures can be easily detected, and many different parameters in different rock engineering applications can be measured and analyzed.

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Acknowledgments

This research is financially supported by the National Natural Science Fund in China (grant no. 61170147), the Special Fund for Basic Scientific Research of Central Colleges (No. 2013G2241019), the Shaanxi Province Science & Technology Fund (No. 2013KW03), the Special Fund for Basic Scientific Research of Central Colleges, the Chang’an University in China (grant no. CHD2013G2241019), the Swedish Nuclear Fuel and Waste Management Company (SKB), and the Aspo Hard Rock Laboratory through the TRUE-1 Continuation Project.

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Authors and Affiliations

  1. School of Information Engineering, Chang’an University, Xi’an, China

    Wang Weixing, Wang Fengping, Huang Xiaojun & Song Junfang

  2. Royal Institute of Technology, Stockholm, Sweden

    Wang Weixing

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  1. Wang Weixing
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  2. Wang Fengping
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  3. Huang Xiaojun
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  4. Song Junfang
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Correspondence to Wang Weixing.

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Weixing, W., Fengping, W., Xiaojun, H. et al. Rock fracture image acquisition using two kinds of lighting and fusion on a wavelet transform. Bull Eng Geol Environ 75, 311–324 (2016). https://doi.org/10.1007/s10064-015-0747-4

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  • DOI: https://doi.org/10.1007/s10064-015-0747-4

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