Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

A generalized fuzzy entropy-based image segmentation method

Authors
Jiulun Fan1, Feng Zhao
1Department of Information and Control, Xi'an Institute of Post and Telecommunications
Corresponding Author
Jiulun Fan
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.220How to use a DOI?
Keywords
image segmentation, fuzzy entropy, generalized fuzzy entropy, fuzzy complement operator.
Abstract

Image segmentation using fuzzy entropy is an important and common segmentation method. The threshold of fuzzy entropy is mostly selected at the gray value with fuzzy membership degree 0.5. It is a limitation in some cases. In order to solve this problem, we present a new definition of generalized fuzzy entropy and apply it to image segmentation. Compared to the traditional fuzzy entropy-based image segmentation method, the proposed method segments an image using the threshold with membership degree m (0

Copyright
© 2007, 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 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.220How to use a DOI?
Copyright
© 2007, 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  - Jiulun Fan
AU  - Feng Zhao
PY  - 2007/10
DA  - 2007/10
TI  - A generalized fuzzy entropy-based image segmentation method
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1293
EP  - 1297
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.220
DO  - https://doi.org/10.2991/iske.2007.220
ID  - Fan2007/10
ER  -