Skeletonization by a topology-adaptive self-organizing neural network

@article{Datta2001SkeletonizationBA,
  title={Skeletonization by a topology-adaptive self-organizing neural network},
  author={Amitava Datta and Swapan K. Parui and Bidyut Baran Chaudhuri},
  journal={Pattern Recognition},
  year={2001},
  volume={34},
  pages={617-629}
}
Abstract A self-organizing neural network model is proposed to generate the skeleton of a pattern. The proposed neural net is topology-adaptive and has a few advantages over other self-organizing models. The model is dynamic in the sense that it grows in size over time. The model is especially designed to produce a vector skeleton of a pattern. It works on binary patterns, dot patterns and also on gray-level patterns. Thus it provides a unified approach to skeletonization. The proposed model is… CONTINUE READING
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