• DocumentCode
    1813017
  • Title

    Image Moment Based Registration Scheme Utilizing Support Vector Machine

  • Author

    Wu Jianzhen

  • Author_Institution
    Dept. of Autom., Shanghai Univ. of Eng. Sci., Shanghai, China
  • Volume
    1
  • fYear
    2009
  • fDate
    18-20 Aug. 2009
  • Firstpage
    575
  • Lastpage
    577
  • Abstract
    A novel image registration scheme is proposed in this paper. Six low order image moments are used as image global pattern features and are feed into support vector machine to estimate translation, rotation and scaling parameters. Simulation results show that the proposed registration scheme is accurate and robust to noise.
  • Keywords
    image registration; support vector machines; image global pattern features; image moment; image registration; support vector machine; Additive white noise; Discrete cosine transforms; Gaussian noise; Image registration; Neural networks; Noise robustness; Parameter estimation; Pattern recognition; Support vector machines; Testing; image moment; image registration; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-0-7695-3744-3
  • Type

    conf

  • DOI
    10.1109/IAS.2009.175
  • Filename
    5283755
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1813017