Cong WANG (王聪)'s repositories
congwang0705.github.io
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Language:Python000
Residual-driven-Fuzzy-C-Means-for-image-segmentation-published-in-IEEE-CAA-JAS-and-IEEE-TCYB
We elaborate on residual-driven Fuzzy C-Means (FCM) for image segmentation, which is the first approach that realizes accurate residual (noise/outliers) estimation and enables noise-free image to participate in clustering.
Language:MATLAB000
Residual-sparse-Fuzzy-C-Means-clustering-algorithm-for-image-segmentation-IEEE-TFS-2021
We propose a residual-sparse Fuzzy C-Means clustering algorithm for image segmentation, published in IEEE TFS, 2021.
Sparse-regularization-based-Fuzzy-C-Means-clustering-algorithm-for-image-segmentation-IEEE-TFS-2021
We propose a sparse regularization-based Fuzzy C-Means clustering algorithm for image segmentation, published in IEEE TFS, 2021.
Kullback-Leibler-divergence-based-Fuzzy-C-Means-algorithm-for-image-segmentation-IEEE-T-CYB-2022-
We elaborate on a Kullback-Leibler divergence-based Fuzzy C-Means (KLDFCM) algorithm by incorporating a tight wavelet frame transform and morphological reconstruction.