Adaptive Continuous-Scale Morphology for Matrix Fields

  • Authors:
  • Bernhard Burgeth;Luis Pizarro;Michael Breuβ;Joachim Weickert

  • Affiliations:
  • Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany;Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany and National Heart and Lung Institute, and Department of Computing, Imperial College London, London, UK;Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany;Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 2011

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Abstract

In this article we consider adaptive, PDE-driven morphological operations for 3D matrix fields arising e.g. in diffusion tensor magnetic resonance imaging (DT-MRI). The anisotropic evolution is steered by a matrix constructed from a structure tensor for matrix valued data. An important novelty is an intrinsically one-dimensional directional variant of the matrix-valued upwind schemes such as the Rouy-Tourin scheme. It enables our method to complete or enhance anisotropic structures effectively. A special advantage of our approach is that upwind schemes are utilised only in their basic one-dimensional version, hence avoiding grid effects and leading to an accurate algorithm. No higher dimensional variants of the schemes themselves are required. Experiments with synthetic and real-world data substantiate the gap-closing and line-completing properties of the proposed method.