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.
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Lazarek, J., Szczepaniak, P.S. (2011). Detection of Semantically Significant Image Elements Using Neural Networks. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_37
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DOI: https://doi.org/10.1007/978-3-642-20320-6_37
Publisher Name: Springer, Berlin, Heidelberg
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