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Spatially-Variant Directional Mathematical Morphology Operators Based on a Diffused Average Squared Gradient Field

  • Rafael Verdú-Monedero
  • Jesús Angulo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5259)

Abstract

This paper proposes an approach for mathematical morphology operators whose structuring element can locally adapt its orientation across the pixels of the image. The orientation at each pixel is extracted by means of a diffusion process of the average squared gradient field. The resulting vector field, the average squared gradient vector flow, extends the orientation information from the edges of the objects to the homogeneous areas of the image. The provided orientation field is then used to perform a spatially variant filtering with a linear structuring element. Results of erosion, dilation, opening and closing spatially-variant on binary images prove the validity of this theoretical sound and novel approach.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Rafael Verdú-Monedero
    • 1
  • Jesús Angulo
    • 2
  1. 1.Department of Information Technologies and CommunicationsTechnical University of CartagenaCartagenaSpain
  2. 2.Centre de Morphologie Mathématique, Ecole des Mines de ParisFontainebleau CedexFrance

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