Color image segmentation using morphological clustering and fusion with automatic scale selection

@article{Lzoray2009ColorIS,
  title={Color image segmentation using morphological clustering and fusion with automatic scale selection},
  author={Olivier L{\'e}zoray and Christophe Charrier},
  journal={Pattern Recognition Letters},
  year={2009},
  volume={30},
  pages={397-406}
}
In this paper, a color image segmentation method considering pairwise color projections is proposed. Each pairwise projection is analyzed according to an unsupervised morphological clustering which looks for the dominant colors of a 2D histogram. This leads to obtaining three segmentation maps combined by superposition after being simplified. The superposition process itself producing an over-segmentation of the image, a pairwise region merging is performed according to a similarity criterion… CONTINUE READING
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