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Ali, Ameer M.; Karmakar, Gour C. and Dooley, Laurence S.
(2008).
URL: http://ietech.org/inner/Advanced%20Computations/AC...
Abstract
Image segmentation especially fuzzy-based segmentation techniques are widely used due to effective segmentation performance. For this reason, a number of algorithms are proposed in the literature. This paper presents a survey report of different types of classical fuzzy clustering techniques which are available in the literature.
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- Item ORO ID
- 25082
- Item Type
- Journal Item
- ISSN
- 0973-807X
- Keywords
- fuzzy clustering; image segmentation; fuzzy c-means; PCM
- 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)
- Copyright Holders
- © 2008 IETECH Publications
- Related URLs
-
- http://xgmt.open.ac.uk/Laurence_Dooley(Author Website)
- Depositing User
- Laurence Dooley