• DocumentCode
    678582
  • Title

    Classification based survey of image registration methods

  • Author

    Sharma, Kamna ; Goyal, Ankur

  • Author_Institution
    Samrat Ashok Technol. Inst., Vidisha, India
  • fYear
    2013
  • fDate
    4-6 July 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Image registration technique is useful for variety of applications ranging from surveillance to image mosaicing where task is to match two or more pictures taken, for example, at different times, from different sensors, or from different viewpoints. This paper is an attempt to make a survey of image registration techniques and provides overall source of recent as well as classic research. Scope of this paper is to explain, refer and compare researches done in last decade, on image registration. Classification of registration process is done on various basis including applications, dimensions and essential ideas. Each step of registration process is explained but more attention is given to feature matching and feature detection. Also an attempt is made to explain transformation and re-sampling involved in registration, thereby making this paper a single source (for future researchers) of process and research involved in the field of Image Registration.
  • Keywords
    feature extraction; image classification; image matching; image registration; image sampling; image segmentation; classification based survey; feature detection; feature matching; image mosaicing; image registration methods; registration process classification; resampling; Biomedical imaging; Correlation; Detectors; Feature extraction; Image edge detection; Image registration; Feature Detection; feature Matching; image registration; image resampling; scale invariant feature transform (SIFT); transform model estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
  • Conference_Location
    Tiruchengode
  • Print_ISBN
    978-1-4799-3925-1
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2013.6726741
  • Filename
    6726741