A Feed-Forward Neural Network for Robust Segmentation of Color Images

  • C. Amoroso
  • A. Chella
  • V. Morreale
  • P. Storniolo
Conference paper
Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)

Abstract

A novel approach for segmentation of color images is proposed. The approach is based on a feed-forward neural network that learns to recognize the hue range of meaningful objects. Experimental results showed that the proposed method is effective and robust even in presence of changing environmental conditions. The described technique has been tested in the framework of the Robot Soccer World Cup Initiative (RoboCup). The approach is fully general and it may be successfully employed in any intermediate level image-processing task, where the color is a meaningful descriptor.

Keywords

Convolution Stim 

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References

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Copyright information

© Springer-Verlag London Limited 1999

Authors and Affiliations

  • C. Amoroso
    • 1
  • A. Chella
    • 1
    • 2
  • V. Morreale
    • 1
  • P. Storniolo
    • 1
  1. 1.Department of Electrical EngineeringUniversity of PalermoPalermoItaly
  2. 2.Centro di Studio sulle Reti di ElaboratoriCNRPalermoItaly

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