Perceptually Motivated Image Features Using Contours
- Submitting institution
-
Heriot-Watt University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 24899851
- Type
- D - Journal article
- DOI
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10.1109/TIP.2016.2601263
- Title of journal
- IEEE Transactions on Image Processing
- Article number
- -
- First page
- 5050
- Volume
- 25
- Issue
- 11
- ISSN
- 1057-7149
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2016
- 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
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Significance: published in IEEE Transactions on Image Processing one of the leading computer vision journals with an impact factor of 6.8. Originality: and extensive examination of 51 texture feature sets that represent 30 years'of leading texture research and proposal of new long-range interaction contour based feature. Result of a longstanding research collaboration between Heriot Watt and the Ocean University of China where Chantler is a Honorary Professor and who recieved the 2016 Qngdao International Science and Technology Cooperation award.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
