Adaptive Semi-Supervised Fuzzy C-Means Method With Local Spatial Information and Pre-Clustering for Image Segmentation

Adaptive Semi-Supervised Fuzzy C-Means Method With Local Spatial Information and Pre-Clustering for Image Segmentation

The semi-supervised fuzzy C-means clustering algorithm is an improved version of the fuzzy C-means algorithm, designed to utilize a small amount of supervised information to enhance the clustering results. However, many semi-supervised fuzzy C-means algorithms suffer from the inadequate use of super...

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Bibliographic Details
Main Authors: Hao-Ran Chen, Xiao-Peng Wang, Jia-Xin Wu, Hai-Zhou Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Fuzzy c-means
semi-supervised clustering
image segmentation
label propagation
local spatial information
Online Access:https://ieeexplore.ieee.org/document/10812752/
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https://ieeexplore.ieee.org/document/10812752/

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