• DocumentCode
    2471863
  • Title

    MDL region-based image registration

  • Author

    Rendas, Maria-João ; Barral, Adrien

  • Author_Institution
    Lab. I3S, Univ. de Nice Sophia Antipolis, Nice, France
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We propose a new image registration criterion that uses segmented versions of the images to exploit both the geometric and photometric characteristics of the distinct regions they contain. It is inspired on the minimum description length principle, considering the alignment parameters as side information, in a coding framework. The criterion is robust with respect to unstable segmentation, a frequent problem in close observation of natural scenes. Results on real images illustrate the performance attained.
  • Keywords
    image registration; image segmentation; coding framework; minimum description length principle; region-based image registration; Biomedical imaging; Cameras; Image registration; Image segmentation; Layout; Mutual information; Photometry; Pixel; Robot vision systems; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4760951
  • Filename
    4760951