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Simple Neighborhoods

  • Bernd Jähne

Abstract

In the last chapter we became acquainted with neighborhood operations for performing averaging and detecting edges. In fact, we only studied the very simplest structures in a local neighborhood: constant areas and discontinuities. However, a local neighborhood could also contain patterns. In this chapter, we discuss the simplest class of such patterns, which we will call simple neighborhoods. As an introduction, we examine what types of simple pattern can be used to make an object distinguishable from a background for the human visual system.

Keywords

Orientation Angle Local Neighborhood Local Orientation Gabor Filter Structure Tensor 
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 1997

Authors and Affiliations

  • Bernd Jähne
    • 1
    • 2
  1. 1.Interdisziplinäres Zentrum für Wissenschaftliches Rechnen (IWR), Forschungsgruppe BildverarbeitungUniversität HeidelbergHeidelbergGermany
  2. 2.Physical Oceanography Research Division, Scripps Institution of OceanographyUniversity of California, San DiegoLa JollaUSA

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