Smoothing tensor-valued images using anisotropic geodesic diffusion

  • Authors:
  • Fan Zhang;Edwin R. Hancock

  • Affiliations:
  • Department of Computer Science, University of York, York, UK;Department of Computer Science, University of York, York, UK

  • Venue:
  • SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
  • Year:
  • 2006

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Abstract

This paper considers the feature space of DT-MRI as a differential manifold with an affine-invariant metric. We generalise Di Zenzo’s structure tensor to tensor-valued images for edge detection. To improve the quality of the edges, we develop a generalised Perona-Malik method for smoothing tensor images. We demonstrate our algorithm on both synthetic and real DT-MRI data.