Multiscale Shannon’s Entropy Modeling of Orientation and Distance in Steel Fiber Micro-Tomography Data
Journal article
Chiverton, J. P, Ige, O, Barnett, S.J and Parry, T (2017). Multiscale Shannon’s Entropy Modeling of Orientation and Distance in Steel Fiber Micro-Tomography Data. IEEE Transactions on Image Processing. 26 (11), pp. 5284-5297. https://doi.org/10.1109/tip.2017.2722234
| Authors | Chiverton, J. P, Ige, O, Barnett, S.J and Parry, T |
|---|---|
| Abstract | This work is concerned with the modelling and analysis of the orientation and distance between steel fibers in X-ray MicroTomography (XCT) data. The advantage of combining both orientation and separation in a model is that it helps provide a detailed understanding of how the steel fibers are arranged, which is easy to compare. The developed models are designed to summarise the randomness of the orientation distribution of the steel fibers both locally and across an entire volume based on multiscale entropy. Theoretical modelling, simulation and application to real imaging data are shown here. The theoretical modelling of multiscale entropy for orientation includes a proof showing the final form of the multiscale taken over a linear range of scales. |
| Year | 2017 |
| Journal | IEEE Transactions on Image Processing |
| Journal citation | 26 (11), pp. 5284-5297 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| ISSN | 1057-7149 |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/tip.2017.2722234 |
| Publication dates | |
| 30 Jun 2017 | |
| Publication process dates | |
| Accepted | 30 Jun 2017 |
| Deposited | 13 Mar 2020 |
| Accepted author manuscript | License File Access Level Open |
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