Classification and Segmentation of Visual Patterns Based on Receptive and Inhibitory Fields

@article{Fernandes2008ClassificationAS,
  title={Classification and Segmentation of Visual Patterns Based on Receptive and Inhibitory Fields},
  author={Bruno Jos{\'e} Torres Fernandes and George D. C. Cavalcanti and Ing Ren Tsang},
  journal={2008 Eighth International Conference on Hybrid Intelligent Systems},
  year={2008},
  pages={126-131}
}
This paper presents a new model to realize a supervised image segmentation task. [] Key Method Also, in order to work with the SCRF model, is proposed here a new artificial neural network, called IPyraNet, which is a hybrid implementation of the recently described PyraNet and the nonclassical receptive fields inhibition. Furthermore, the model and the network are applied together in order to realize a satellite image segmentation task.

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