A performance evaluation of statistical tests for edge detection in textured images
- Submitting institution
-
Birmingham City University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11Z_OP_D0086
- Type
- D - Journal article
- DOI
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10.1016/j.cviu.2014.02.009
- Title of journal
- Computer Vision and Image Understanding
- Article number
- -
- First page
- 115
- Volume
- 122
- Issue
- -
- ISSN
- 1077-3142
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2014
- URL
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https://www.sciencedirect.com/science/article/pii/S1077314214000356
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work evaluated performance of statistical tests for edge detection in textured or cultured images. This paper has been cited 16 times. Examples of this include results on edge detection presented have been brought forward an applied in remote sensing images (DOI 10.1016/j.neucom.2015.08.121) and to inform the work on edge detection via anisotropic morphological directional derivatives (DOI 10.1109/TIP.2017.2726190).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -