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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiang He |
| Copyright Year | 2009 |
| Description | Author affiliation: Institute of the Mechanics of Porous Media, Wuhan Polytechnic University, 430023, China (Xiang He) |
| Abstract | A new image segmentation algorithm based on the Kring interpolation algorithm is proposed to segment the CT images of the rock into pore systems and the mineral grain systems. With the method, the CT image of the rock is segmented without isolated island by analyzing the correlation between the pixels of the Image. The 3D microstructure of the pore system and the mineral grain system in the rock sample are reconstructed basing on the segmented images with matching cube algorithm, in which the volume element is reconstructed with 3-dimensional interpolation method and the equipotential surface is analyzed by triangular facet method. The reconstructed microstructures are verified by slice images in two other orthometric directions and the results prove that both the distribution and the shape characteristic of the pores and mineral grains in the reconstructed microstructure are in coincidence with that in the actual CT image with statistical significance. |
| Starting Page | 74 |
| Ending Page | 78 |
| File Size | 381289 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424437283 |
| DOI | 10.1109/ICWAPR.2009.5207428 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Microstructure of the rock Kring interpolation algorithm Minerals Image reconstruction Matching cube method Image segmentation Interpolation Surface reconstruction Image analysis 3D reconstruction Computed tomography Microstructure Pixel |
| Content Type | Text |
| Resource Type | Article |
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