• DocumentCode
    1855778
  • Title

    An invariant similarity registration algorithm based on the Analytical Fourier-Mellin Transform

  • Author

    Sellami, Malek ; Ghorbel, Faouzi

  • Author_Institution
    Cristal Lab., Univ. of Manouba, La Manouba, Tunisia
  • fYear
    2012
  • fDate
    27-31 Aug. 2012
  • Firstpage
    390
  • Lastpage
    394
  • Abstract
    Here, we intend to introduce an invariant similarity registration method based on Analytical Fourier-Mellin Transform (AFMT) computed on the image functions. The well-known phase correlation method which estimates the geometrical transformation parameters between tow images from the corresponding Fourier-Mellin spectrums is compared to the proposed one. In order to illustrate the best performance of the geometric parameters estimation, we apply our method to the construction of Punic Panorama.
  • Keywords
    Fourier transforms; correlation methods; image registration; parameter estimation; AFMT; Fourier-Mellin spectrums; analytical Fourier-Mellin transform; geometric parameters estimation; geometrical transformation parameter estimation; image functions; invariant similarity registration algorithm; phase correlation method; punic panorama; tow images; Algorithm design and analysis; Correlation; Equations; Estimation; Fourier transforms; Image registration; Analytical Fourier-Mellin Transform (AFMT); Mosaicing; Phase correlation; Registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • Conference_Location
    Bucharest
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6334225