Fuzzy C-Means Algorithm with Local Thresholding for Gray-Scale Images

@article{Ng2008FuzzyCA,
  title={Fuzzy C-Means Algorithm with Local Thresholding for Gray-Scale Images},
  author={Hsiao Piau Ng and Sim Heng Ong and Kelvin Weng Chiong Foong and Poh-Sun Goh and Wieslaw Lucjan Nowinski},
  journal={International Journal on Artificial Intelligence Tools},
  year={2008},
  volume={17},
  pages={765-775}
}
An improved fuzzy C-means (FCM) clustering method is proposed. It incorporates Otsu thresholding with conventional FCM to reduce FCM’s susceptibility to local minima, as well as its tendency to derive a threshold that is biased towards the component with larger probability, and derive threshold values with greater accuracy. Thresholding is performed at the cluster boundary region in feature space. A comparison of the results produced by improved and conventional algorithms confirms the superior… CONTINUE READING