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The Influence of the γ-Parameter on Feature Detection with Automatic Scale Selection

  • Peter Majer
Conference paper
Part of the Lecture Notes in Computer Science 2106 book series (LNCS, volume 2106)

Abstract

A method to automatically select locally appropriate scales for feature detection, proposed by Lindeberg [8], [9], involves choosing a so-called γ-parameter. The implications of the choice of γ-parameter are studied and it is demonstrated that different values of γ can lead to qualitatively different features being detected. As an example the range of γ-values is determined such that a second derivative of Gaussian filter kernel detects ridges but not edges. Some results of this relatively simple ridge detector are shown for two-dimensional images.

Keywords

Scale selection ridge detection. 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Peter Majer
    • 1
  1. 1.Institute for Statistics and EconometricsUniversity of GöttingenZürichSwitzerland

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