A Wavelet-Based Multiresolution Method to AutomaticallyRegister Images

  • Authors:
  • Joachim Deubler;Jean-Christophe Olivo

  • Affiliations:
  • European Molecular Biology Laboratory, Cell Biophysics Programme, Meyerhofstr. 1, 69012 Heidelberg, Federal Republic of Germany;European Molecular Biology Laboratory, Cell Biophysics Programme, Meyerhofstr. 1, 69012 Heidelberg, Federal Republic of Germany

  • Venue:
  • Journal of Mathematical Imaging and Vision
  • Year:
  • 1997

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Abstract

We present a method to automatically register images presenting bothglobal and local deformations. The image registration process isperformed by exploiting a multi-level/multi-image approach wherebyafter having wavelet-transformed the images, the subband images atdifferent levels are used in a non-feature-based way to determine themotion vectors between the reference and the target images. The crudemotion field determined by block matching at the coarsest level ofthe pyramid is successively refined by taking advantage of both theorientation sensitivity of the different subbands and thecontribution of the adjacent levels. The final registered image isobtained by applying the motion field to the lowest level of thepyramid and by inversely transforming it.