A generalized fuzzy entropy-based image segmentation method
- 10.2991/iske.2007.220How to use a DOI?
- image segmentation, fuzzy entropy, generalized fuzzy entropy, fuzzy complement operator.
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
- © 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 - 10.2991/iske.2007.220 ID - Fan2007/10 ER -