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Detection of Semantically Significant Image Elements Using Neural Networks

  • Jagoda Lazarek
  • Piotr S. Szczepaniak
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)

Abstract

Detection of semantically significant image elements is a key task in the pattern recognition field. There are a lot of methods solving this problem. The main steps of the approach presented in this paper are colour transformation and detection, filtering and neural classification of contours.

Keywords

Gradient Magnitude Image Element Road Sign Colour Segmentation Color Image Segmentation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jagoda Lazarek
    • 1
  • Piotr S. Szczepaniak
    • 1
  1. 1.Institute of Information TechnologyTechnical University of LodzLodzPoland

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