Neural network for region detection

  • Giorgio Cucurachi
  • Guido Tascini
  • Francesco Piazza
Poster Session C: Compression, Hardware & Software, Image Database, Neural Networks, Object Recognition & Reconstruction
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)


The paper proposes a neural network organized in three structures , each of which is constituted by a set of levels . The lower structure is made up of two layer groups the first one filters the high frequency noise , while the second one is sensitive to scarcely lighted images . Finally the third structure detects contour and position of regions . The network uses neurons of C , S and V type in analogy to Fukushima Neo-Cognitron . A simulation program has been implemented, which shows good throughput in spite of network complexity.


Neo-Cognitron Pre-Processing Filtering Vectorial Quantization 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Giorgio Cucurachi
    • 1
  • Guido Tascini
    • 1
  • Francesco Piazza
    • 1
  1. 1.Istituto di Informatica - Dipartimento di Elettronica e AutomaticaUniversitá di AnconaAnconaItaly

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