Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification

@article{Maulik2003FuzzyPU,
  title={Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification},
  author={Ujjwal Maulik and Sanghamitra Bandyopadhyay},
  journal={IEEE Trans. Geosci. Remote. Sens.},
  year={2003},
  volume={41},
  pages={1075-1081}
}
The problem of classifying an image into different homogeneous regions is viewed as the task of clustering the pixels in the intensity space. Real-coded variable string length genetic fuzzy clustering with automatic evolution of clusters is used for this purpose. The cluster centers are encoded in the chromosomes, and the Xie-Beni index is used as a measure of the validity of the corresponding partition. The effectiveness of the proposed technique is demonstrated for classifying different… 
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