Robust Image Segmentation Using Fuzzy C-Means Clustering With Spatial Information Based on Total Generalized Variation

Robust Image Segmentation Using Fuzzy C-Means Clustering With Spatial Information Based on Total Generalized Variation

Fuzzy c-means clustering (FCM) has proved highly successful in the manipulation and analysis of image information, such as image segmentation. However, the effectiveness of FCM-based technique is limited by its poor robustness to noise and edge-preserving during the segmentation process. To tackle t...

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Bibliographic Details
Main Authors: Xiaolei Zhang, Weijun Pan, Zhengyuan Wu, Jiayang Chen, Yifei Mao, Renhua Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Fuzzy c-means clustering
image segmentation
local spatial information
total generalized variation
nonuniform membership function
Online Access:https://ieeexplore.ieee.org/document/9096330/

Internet

https://ieeexplore.ieee.org/document/9096330/

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