Using the Local Phase of the Magnitude of the Local Structure Tensor for Image Registration

  • Anders Eklund
  • Daniel Forsberg
  • Mats Andersson
  • Hans Knutsson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6688)

Abstract

The need of image registration is increasing, especially in the medical image domain. The simplest kind of image registration is to match two images that have similar intensity. More advanced cases include the problem of registering images of different intensity, for which phase based algorithms have proven to be superior. In some cases the phase based registration will fail as well, for instance when the images to be registered do not only differ in intensity but also in local phase. This is the case if a dark circle in the reference image is a bright circle in the source image. While rigid registration algorithms can use other parts of the image to calculate the global transformation, this problem is harder to solve for non-rigid registration. The solution that we propose in this work is to use the local phase of the magnitude of the local structure tensor, instead of the local phase of the image intensity. By doing this, we achieve invariance both to the image intensity and to the local phase and thereby only use the structural information, i.e. the shapes of the objects, for registration.

Keywords

Mutual Information Test Image Image Registration Local Phase Registration Algorithm 
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

  • Anders Eklund
    • 1
    • 2
  • Daniel Forsberg
    • 1
    • 2
    • 3
  • Mats Andersson
    • 1
    • 2
  • Hans Knutsson
    • 1
    • 2
  1. 1.Division of Medical Informatics, Department of Biomedical EngineeringLinköping UniversityLinköpingSweden
  2. 2.Center for Medical Image Science and Visualization (CMIV)Linköping UniversityLinköpingSweden
  3. 3.Sectra ImtecLinköpingSweden

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