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A survey of fuzzy rule-based image segmentation techniques

Karmakar, Gour C.; Dooley, Laurence S. and Rahman, Syed (2000). A survey of fuzzy rule-based image segmentation techniques. In: 1st IEEE Pacific-Rim Conference on Multimedia (PCM'2000), 13-15 Dec 2000, Sydney, Australia.

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This paper describes the various fuzzy rule based techniques for image segmentation. Fuzzy rule based segmentation techniques can incorporate domain expert knowledge and manipulate numerical as well as linguistic data. They are also capable of drawing partial inference using fuzzy IF-THEN rules. For these reasons they have been extensively applied in medical imaging. But these rules are application domain specific and it is very difficult to define the rules either manually or automatically so that the segementation can be achieved successfully.

Item Type: Conference or Workshop Item
Academic Unit/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)
Item ID: 16487
Depositing User: Laurence Dooley
Date Deposited: 29 May 2009 08:30
Last Modified: 10 Dec 2018 21:52
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