Attribute Controlled Reconstruction and Adaptive Mathematical Morphology

  • Andrés Serna
  • Beatriz Marcotegui
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7883)

Abstract

In this paper we present a reconstruction method controlled by the evolution of attributes. The process begins from a marker, propagated over increasing quasi–flat zones. The evolution of several increasing and non–increasing attributes is studied in order to select the appropriate region. Additionally, the combination of attributes can be used in a straightforward way.

To demonstrate the performance of our method, three applications are presented. Firstly, our method successfully segments connected objects in range images. Secondly, input–adaptive structuring elements (SE) are defined computing the controlled propagation for each pixel on a pilot image. Finally, input–adaptive SE are used to assess shape features on the image.

Our approach is multi–scale and auto–dual. Compared with other methods, it is based on a given attribute but does not require a size parameter in order to determine appropriate regions. It is useful to extract objects of a given shape. Additionally, our reconstruction is a connected operator since quasi–flat zones do not create new contours on the image.

Keywords

mathematical morphology controlled reconstruction connected operators adaptive SE quasi–flat zones attribute evolution 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Andrés Serna
    • 1
  • Beatriz Marcotegui
    • 1
  1. 1.CMM - Centre de Morphologie Mathématique, Mathématiques et SystèmesMines ParisTechFontainebleau–CedexFrance

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