Multiscale Extension of the Gravitational Approach to Edge Detection

  • Carlos Lopez-Molina
  • Bernard De Baets
  • Humberto Bustince
  • Edurne Barrenechea
  • Mikel Galar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7023)

Abstract

The multiscale techniques for edge detection aim to combine the advantages of small and large scale methods, usually by blending their results. In this work we introduce a method for the multiscale extension of the Gravitational Edge Detector based on a t-norm T. We smoothen the image with a Gaussian filter at different scales then perform inter-scale edge tracking. Results are included illustrating the improvements resulting from the application of the multiscale approach in both a quantitative and a qualitative way.

Keywords

True Positive Edge Detection Machine Intelligence Edge Image Edge Pixel 
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 2011

Authors and Affiliations

  • Carlos Lopez-Molina
    • 1
    • 2
  • Bernard De Baets
    • 2
  • Humberto Bustince
    • 1
  • Edurne Barrenechea
    • 1
  • Mikel Galar
    • 1
  1. 1.Dpto. Automatica y ComputacionUniversidad Publica de NavarraPamplonaSpain
  2. 2.Dept. of Applied Mathematics, Biometrics and Process ControlGhent UniversityGentBelgium

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