Feature encoding for unsupervised segmentation of color images

@article{Li2003FeatureEF,
  title={Feature encoding for unsupervised segmentation of color images},
  author={N. Li and Y. F. Li},
  journal={IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society},
  year={2003},
  volume={33 3},
  pages={438-47}
}
In this paper, an unsupervised segmentation method using clustering is presented for color images. We propose to use a neural network based approach to automatic feature selection to achieve adaptive segmentation of color images. With a self-organizing feature map (SOFM), multiple color features can be analyzed, and the useful feature sequence (feature vector) can then be determined. The encoded feature vector is used in the final segmentation using fuzzy clustering. The proposed method has… CONTINUE READING
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