Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)

An Extended Fuzzy Logic Method for Watershed

Authors
Ling Zhang1, Ming Zhang, H.D. Cheng
1Lecturer
Corresponding Author
Ling Zhang
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.62How to use a DOI?
Keywords
Extended Fuzzy Logic, Segmentation, Watershed, Image Processing
Abstract

Fuzzy Logic was intruded by Lotfi A. Zadeh in 1965. It is for solving uncertainty and ambiguity problems. Fuzzy logic is a multivalued logic defined in . However, there are a lot of paradoxes, as proposition, can not be described in Fuzzy Logic. In this paper, we will define an extended fuzzy logic and applied it on watershed segmentation method in image processing.

Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
Series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.62How to use a DOI?
Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ling Zhang
AU  - Ming Zhang
AU  - H.D. Cheng
PY  - 2008/12
DA  - 2008/12
TI  - An Extended Fuzzy Logic Method for Watershed
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 364
EP  - 369
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.62
DO  - https://doi.org/10.2991/jcis.2008.62
ID  - Zhang2008/12
ER  -