A color image segmentation approach based on fuzzy similarity measure

@article{Chien2002ACI,
  title={A color image segmentation approach based on fuzzy similarity measure},
  author={Been-Chian Chien and Ming-Cheng Cheng},
  journal={2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291)},
  year={2002},
  volume={1},
  pages={449-454 vol.1}
}
We propose an image segmentation scheme based on a fuzzy color similarity measure to segment out meaningful objects in an image according to human perception. The proposed method first defines a set of fuzzy colors based on the HLS color coordinate space. Each pixel in an image is represented by a set of fuzzy colors that are the most similar colors in the color palette selected by humans. Then, a fuzzy similarity measure is developed for evaluating the similarity of fuzzy colors between two… CONTINUE READING

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