The Open UniversitySkip to content
 

Use of rank-conditioned morphological operators for texture classification

Rees, S. J.; Swoodham, S. and Dooley, L.S. (1997). Use of rank-conditioned morphological operators for texture classification. In: Institution of Electrical Engineers ed. Image processing and its applications. IEE Conference Publication, 2 (443). London: Institution of Electrical Engineers, pp. 618–622.

URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...
Google Scholar: Look up in Google Scholar

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

Item Type: Book Chapter
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/Department: Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 16638
Depositing User: Laurence Dooley
Date Deposited: 02 Jun 2009 16:26
Last Modified: 02 Dec 2010 20:30
URI: http://oro.open.ac.uk/id/eprint/16638
Share this page:

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk