Super-resolution of X-ray CT images of rock samples by sparse representation: applications to the complex texture of serpentinite
Abstract X-ray computed tomography (X-ray CT) has been widely used in the earth sciences, as it is non-destructive method for providing us the three-dimensional structures of rocks and sediments. Rock samples essentially possess various-scale structures, including millimeters to centimeter scales of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-33503-6 |
| _version_ | 1797836404476084224 |
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| author | Toshiaki Omori Shoi Suzuki Katsuyoshi Michibayashi Atsushi Okamoto |
| author_facet | Toshiaki Omori Shoi Suzuki Katsuyoshi Michibayashi Atsushi Okamoto |
| author_sort | Toshiaki Omori |
| collection | DOAJ |
| description | Abstract X-ray computed tomography (X-ray CT) has been widely used in the earth sciences, as it is non-destructive method for providing us the three-dimensional structures of rocks and sediments. Rock samples essentially possess various-scale structures, including millimeters to centimeter scales of layering and veins to micron-meter-scale mineral grains and porosities. As the limitations of the X-ray CT scanner, sample size and scanning time, it is not easy to extract information on multi-scale structures, even when hundreds meter scale core samples were obtained during drilling projects. As the first step to overcome such barriers on scale-resolution problems, we applied the super-resolution technique by sparse representation and dictionary-learning to X-ray CT images of rock core sample. By applications to serpentinized peridotite, which records the multi-stage water–rock interactions, we reveal that both grain-shapes, veins and background heterogeneities of high-resolution images can be reconstructed through super-resolution. We also show that the potential effectiveness of sparse super-resolution for feature extraction of complicated rock textures. |
| first_indexed | 2024-04-09T15:09:39Z |
| format | Article |
| id | doaj.art-31ef781f88aa459b970d33a609b51a6e |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T15:09:39Z |
| publishDate | 2023-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-31ef781f88aa459b970d33a609b51a6e2023-04-30T11:17:10ZengNature PortfolioScientific Reports2045-23222023-04-0113111110.1038/s41598-023-33503-6Super-resolution of X-ray CT images of rock samples by sparse representation: applications to the complex texture of serpentiniteToshiaki Omori0Shoi Suzuki1Katsuyoshi Michibayashi2Atsushi Okamoto3Department of Electrical and Electronic Engineering, Graduate School of Engineering, Kobe UniversityDepartment of Electrical and Electronic Engineering, Graduate School of Engineering, Kobe UniversityDepartment of Earth and Planetary Sciences, Graduate School of Environmental Studies, Nagoya UniversityDepartment of Environmental Studies for Advanced Society, Graduate School of Environmental Studies, Tohoku UniversityAbstract X-ray computed tomography (X-ray CT) has been widely used in the earth sciences, as it is non-destructive method for providing us the three-dimensional structures of rocks and sediments. Rock samples essentially possess various-scale structures, including millimeters to centimeter scales of layering and veins to micron-meter-scale mineral grains and porosities. As the limitations of the X-ray CT scanner, sample size and scanning time, it is not easy to extract information on multi-scale structures, even when hundreds meter scale core samples were obtained during drilling projects. As the first step to overcome such barriers on scale-resolution problems, we applied the super-resolution technique by sparse representation and dictionary-learning to X-ray CT images of rock core sample. By applications to serpentinized peridotite, which records the multi-stage water–rock interactions, we reveal that both grain-shapes, veins and background heterogeneities of high-resolution images can be reconstructed through super-resolution. We also show that the potential effectiveness of sparse super-resolution for feature extraction of complicated rock textures.https://doi.org/10.1038/s41598-023-33503-6 |
| spellingShingle | Toshiaki Omori Shoi Suzuki Katsuyoshi Michibayashi Atsushi Okamoto Super-resolution of X-ray CT images of rock samples by sparse representation: applications to the complex texture of serpentinite Scientific Reports |
| title | Super-resolution of X-ray CT images of rock samples by sparse representation: applications to the complex texture of serpentinite |
| title_full | Super-resolution of X-ray CT images of rock samples by sparse representation: applications to the complex texture of serpentinite |
| title_fullStr | Super-resolution of X-ray CT images of rock samples by sparse representation: applications to the complex texture of serpentinite |
| title_full_unstemmed | Super-resolution of X-ray CT images of rock samples by sparse representation: applications to the complex texture of serpentinite |
| title_short | Super-resolution of X-ray CT images of rock samples by sparse representation: applications to the complex texture of serpentinite |
| title_sort | super resolution of x ray ct images of rock samples by sparse representation applications to the complex texture of serpentinite |
| url | https://doi.org/10.1038/s41598-023-33503-6 |
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