Differential evolution methods for unsupervised image classification

@article{Omran2005DifferentialEM,
  title={Differential evolution methods for unsupervised image classification},
  author={Mahamed G. H. Omran and Andries Petrus Engelbrecht and Ayed A. Salman},
  journal={2005 IEEE Congress on Evolutionary Computation},
  year={2005},
  volume={2},
  pages={966-973 Vol. 2}
}
A clustering method that is based on differential evolution is developed in this paper. The algorithm finds the centroids of a user specified number of clusters, where each cluster groups together similar patterns. The application of the proposed clustering algorithm to the problem of unsupervised classification and segmentation of images is investigated. To illustrate its wide applicability, the proposed algorithm is then applied to synthetic, MRI and satellite images. Experimental results… CONTINUE READING
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