The Open UniversitySkip to content
 

A fuzzy rule-based colour image segmentation algorithm

Dooley, L. S.; Karmakar, G. C. and Murshed, M. (2003). A fuzzy rule-based colour image segmentation algorithm. In: IEEE International Conference on Image Processing (ICIP '03),, 14-17 September 2003, Barcelona.

Full text available as:
[img]
Preview
PDF (Not Set) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (335Kb)
URL: http://ieeexplore.ieee.org/search/wrapper.jsp?arnu...
DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1109/ICIP.2003.1247128
Google Scholar: Look up in Google Scholar

Abstract

Most fuzzy rule-based image segmentation techniques to date have been primarily developed for gray level images. In this paper, a new algorithm called fuzzy rule-based colour image segmentation (FRCIS) is proposed by extending the generic fuzzy rule-based image segmentation (GFFUS) algorithm G.C. Karmakar, L.S. Dooley [2002] and integrating a novel algorithm for averaging hue angles. Qualitative and quantitative analysis of the performance of FRCIS is examined and contrasted with the popular fuzzy c-means (FCM) and possibilistic c-means (PCM) algorithms for both the hue-saturation-value (HSV) and RGB colour models. Overall, FRCIS provides considerable improvement for many different image types.

Item Type: Conference Item
ISSN: 1522-4880
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 11477
Depositing User: Laurence Dooley
Date Deposited: 28 Aug 2008 04:12
Last Modified: 04 Feb 2011 18:34
URI: http://oro.open.ac.uk/id/eprint/11477
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