Multiscale Shannon’s entropy modelling of orientation and distance in steel fiber micro-tomography data
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 12 - Engineering
- Output identifier
- 10674395
- Type
- D - Journal article
- DOI
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10.1109/TIP.2017.2722234
- Title of journal
- IEEE Transactions on Image Processing
- Article number
- -
- First page
- 5284
- Volume
- 26
- Issue
- 11
- ISSN
- 1057-7149
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work is the result of an interdisciplinary collaboration with the School of Civil Engineering. It is significant because it helped provide the theoretical model that enabled comparative work with some experimental results obtained by an engineering PhD student. This work has fed into further collaborative work including applications to synthetic nanomaterials for fog based water harvesting with Prof. Urszula Stachewicz and International Centre of Electron Microscopy, AGH University, Poland (see Knapczyk-Korczak et al. ACS Applied Mat. & Interfaces 2019). Image processing was performed which validated the experimental results. This paper contributed to obtaining further funding (H2020 BioCom4SavEn Grant 948840).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -