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Rock fracture image acquisition using two kinds of lighting and fusion on a wavelet transform
KTH. Chang’an University, China .
2016 (English)In: Bulletin of Engineering Geology and the Environment, ISSN 1435-9529, E-ISSN 1435-9537, Vol. 75, no 1, 311-324 p.Article in journal (Refereed) PublishedText
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2016. Vol. 75, no 1, 311-324 p.
Keyword [en]
Rock fracture, Ultraviolet, Image fusion, Non-separable wavelet transform, Redundant lifting
National Category
URN: urn:nbn:se:kth:diva-183324DOI: 10.1007/s10064-015-0747-4ISI: 000369994600023ScopusID: 2-s2.0-84957437676OAI: diva2:910515

QC 20160309

Available from: 2016-03-09 Created: 2016-03-07 Last updated: 2016-03-19Bibliographically approved

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Weixing, Wang
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