Color image segmentation using fuzzy C-means and eigenspace projections

@article{Yang2002ColorIS,
  title={Color image segmentation using fuzzy C-means and eigenspace projections},
  author={Jar-Ferr Yang and Shu-Sheng Hao and Pau-Choo Chung},
  journal={Signal Processing},
  year={2002},
  volume={82},
  pages={461-472}
}
In this paper, we propose two eigen-based fuzzy C-means (FCM) clustering algorithms to accurately segment the desired images, which have the same color as the pre-selected pixels. From the selected color pixels, we can 3rst divide the color space into principal and residual eigenspaces. Combined eigenspace transform and the FCM method, we can e4ectively achieve color image segmentation. The separate eigenspace FCM (SEFCM) algorithm independently applies the FCM method to principal and residual… CONTINUE READING
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