Color image segmentation using automatic thresholding and the fuzzy C-means techniques

@article{Chaabane2008ColorIS,
  title={Color image segmentation using automatic thresholding and the fuzzy C-means techniques},
  author={S. Ben Chaabane and Mounir Sayadi and Farhat Fnaiech and Eric Brassart},
  journal={MELECON 2008 - The 14th IEEE Mediterranean Electrotechnical Conference},
  year={2008},
  pages={857-861}
}
In this paper, a color image segmentation approach based on automatic histogram thresholding and the fuzzy C-means (FCM) techniques is presented. The originality of this work remains in using thresholding and clustering techniques together for color image segmentation. The histogram considers the occurrence of the gray levels among pixels. In a first stage, the thresholding histogram is used for finding all major homogenous areas. In order to reduce the computational burden required by the… CONTINUE READING
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