AFCF
The proposed framework has threefold contributions. Firstly, the idea of superpixel is used for the density peak (DP) algorithm, which efficiently reduces the size of the similarity matrix and thus improves the computational efficiency of the DP algorithm. Secondly, we employ a density balance algorithm to obtain arobust decision-graph that helps the DP algorithm achieve fully automatic clustering. Finally, a fuzzy c-means clustering based on prior entropy is used in the framework to improve image segmentation results.
Citation pour cette source
Tao Lei (2024). AFCF (https://www.mathworks.com/matlabcentral/fileexchange/75245-afcf), MATLAB Central File Exchange. Récupéré le .
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AFCF-2020TFS
Version | Publié le | Notes de version | |
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1.0.1 | adding tags |
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1.0.0 |