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 J. T. 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. It is based on the concept of receptive fields that intends to analyze pieces of an image considering not only the pixels or group of them, but also the relationship between them and their neighbors, called segmentation and classification with receptive fields (SCRF). 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… CONTINUE READING

Figures, Tables, and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-8 OF 8 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES

Skin segmentation using color pixel classification: analysis and comparison

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2005
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Neural Networks for Pattern Recognition

C. M. Bishop
  • Oxford, U.K.: Clarendon,
  • 2007
VIEW 1 EXCERPT

A supervised segmentation scheme for cancerology color images

  • Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)
  • 2003
VIEW 2 EXCERPTS