Copy the page URI to the clipboard
Rees, S. J.; Swoodham, S. and Dooley, L.S.
(1997).
DOI: https://doi.org/10.1049/cp:19970968
URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...
Abstract
The texture analysis method developed has been successfully applied to a variety of natural textures. It is based on extraction of integer data, and the histogram feature data extraction is capable of implementation in hardware, based on a shift and compare algorithm on a pixel by pixel basis, comparison being undertaken over the chosen template shape size. Subject to the replication of the shape size area, this is highly amenable to parallel implementation down to the single pixel level. Comparison with the work of Wang and Haese-Coat (see Journal of Visual Communication and Image Representation, no.4, p.197-214, 1993) in terms of noise performance and discrimination indicate a less effective result. This is due in part to the non-optimal classification method adopted, and is compensated by lower computational intensity
Viewing alternatives
Metrics
Public Attention
Altmetrics from AltmetricNumber of Citations
Citations from DimensionsItem Actions
Export
About
- Item ORO ID
- 16638
- Item Type
- Book Section
- ISBN
- 0-85296-692-X, 978-0-85296-692-1
- ISSN
- 0537-9989
- Extra Information
-
Image processing and its applications, 6th international conference; Trinity College, Dublin, Republic of Ireland; 14-17 July 1997;
Note the IEE has merged and become the IET, the The Institution of Engineering and Technology - Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Related URLs
-
- http://www.theiet.org/(Other)
- Depositing User
- Laurence Dooley