Fuzzy Multilevel Image Thresholding Based on Modified Discrete Grey Wolf Optimizer and Local Information Aggregation

Fuzzy Multilevel Image Thresholding Based on Modified Discrete Grey Wolf Optimizer and Local Information Aggregation

Fuzzy entropy and image thresholding are the most direct and effective methods for image segmentation. This paper, taking fuzzy Kapur's entropy as the optimal objective function, with modified discrete Grey wolf optimizer (GWO) as the tool, uses pseudotrapezoid-shaped to conduct fuzzy membershi...

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Bibliographic Details
Main Authors: Linguo Li, Lijuan Sun, Wei Kang, Jian Guo, Chong Han, Shujing Li
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
Evolutionary computation
fuzzy sets
information entropy
image segmentation
optimization methods
Online Access:https://ieeexplore.ieee.org/document/7577844/

Internet

https://ieeexplore.ieee.org/document/7577844/

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