• DocumentCode
    3635934
  • Title

    A novel non-rigid registration method

  • Author

    Imam Şamil Yetik

  • Author_Institution
    Medical Imaging Research Center, Illinois Institute of Technology, Chicago, IL
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    Image registration is a fundamental step in image processing systems where there is a need to match two more images. Applications include motion detection, target recognition, video processing, and medical imaging. Although a vast number of methods have been proposed, it is not possible to claim that the problem is solved, especially when the deformation is locally variant and nonrigid. In this paper, we propose a registration method that is superior to other available algorithms, avoiding user interaction, and manual parameters, being noniterative (having a closed form solution), locally-variant, and allowing for sub-pixel registration. The method is successfully applied using computer simulations.
  • Keywords
    "Image registration","Deformable models","Biomedical imaging","Motion detection","Target recognition","Computer simulation","Image analysis","Neoplasms","Image processing","Closed-form solution"
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis & Interpretation (SSIAI), 2010 IEEE Southwest Symposium on
  • Print_ISBN
    978-1-4244-7801-9
  • Type

    conf

  • DOI
    10.1109/SSIAI.2010.5483923
  • Filename
    5483923