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Disorder Detection of Random Fields

  • B. E. Brodsky
  • B. S. Darkhovsky
Part of the Mathematics and Its Applications book series (MAIA, volume 243)

Abstract

In solving many problems relating to the recognition of complex signals, in the synthesis of artificial intelligence systems and in experimental data processing, the problem often arises to detect homogeneous regions of a random field. The crux of this problem is as follows. Suppose that a domain of definition J of a random field is divided into k disjoint sets I i , i = 1,..., k of statistical homogeneity in characteristics of this random field. The problem is to reconstruct the boundaries of the sets I i using observations of a random field in the domain J.

Keywords

Image Segmentation Random Field Homogeneity Region Experimental Data Processing Binary Problem 
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 Science+Business Media Dordrecht 1993

Authors and Affiliations

  • B. E. Brodsky
    • 1
  • B. S. Darkhovsky
    • 2
  1. 1.Open University RussiaMoscowRussia
  2. 2.Institute for Systems AnalysisRussian Academy of SciencesMoscowRussia

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