Unsupervised Learning of Local Mean Gray Values for Image Pre-processing

  • Herbert Jahn
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1715)


A parallel-sequential unsupervised learning method for image smoothing is presented which can be implemented with a Multi Layer Neural Network. In contrast to older work of the author which has used 4-connectivity of processing elements (neurons) leading to a very big number of recursions now each neuron of network layer t+1 is connected with (2M+1)✻(2M+1) neurons of layer t guaranteeing a significant reduction of network layers with the same good smoothing results.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Herbert Jahn
    • 1
  1. 1.Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)Institut für Weltraumsensorik und PlanetenerkundungBerlinGermany

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