Image Enhancement Technology Based on Fuzzy Set Theory
Xiaoyuan Zhang, Liang Gong
Available Online December 2016.
- 10.2991/mcei-16.2016.226How to use a DOI?
- Fuzzy set theory, Image enhancement, Membership function, Sub-Peak effect
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.
- © 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
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 -