Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

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Image Enhancement Technology Based on Fuzzy Set Theory

Authors
Xiaoyuan Zhang, Liang Gong
Corresponding Author
Xiaoyuan Zhang
Available Online December 2016.
DOI
10.2991/mcei-16.2016.226How to use a DOI?
Keywords
Fuzzy set theory, Image enhancement, Membership function, Sub-Peak effect
Abstract

Images will lose some of local feasures by using traditional image enhancement technology. So this paper introduces the fuzzy set theory to transform the image smoothly in local areas. By considering sub-peak effect, we give one more channel to strengthen local feasures. In this way, images are enhanced with less distortion from analyzing gray level distribution curve and subjective sensing. Therefore, fuzzy set theory is more suitable in image enhancement, for its ability to evaluate images continuously.

Copyright
© 2017, 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 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
10.2991/mcei-16.2016.226
ISSN
1951-6851
DOI
10.2991/mcei-16.2016.226How to use a DOI?
Copyright
© 2017, 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

risenwbib
TY  - CONF
AU  - Xiaoyuan Zhang
AU  - Liang Gong
PY  - 2016/12
DA  - 2016/12
TI  - Image Enhancement Technology Based on Fuzzy Set Theory
BT  - Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 1075
EP  - 1078
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.226
DO  - 10.2991/mcei-16.2016.226
ID  - Zhang2016/12
ER  -