• DocumentCode
    1778078
  • Title

    Automatic image registration based on plain objects detection and recognition in remote sensing tasks

  • Author

    Kazlouski, A. ; Sadykhov, R.K.

  • Author_Institution
    Comput. Syst. Dept., Belarusian State Univ. of Inf. & Radioelecrtronics, Minsk, Belarus
  • fYear
    2014
  • fDate
    23-25 June 2014
  • Firstpage
    218
  • Lastpage
    225
  • Abstract
    Image registration is central problem to many tasks in digital image processing and therefore it has a vast range of applications. A scheme of automatic image registration based on plain objects detection and recognition in remote sensing tasks is presented in this paper. It relates to the concept of plain object in image and includes three subsystems. A subsystem of plain objects detection in image is based on a new method of plain objects detection in image. It relates to the land use classification process, different image segmentation methods and depends on the particular application. A subsystem of conjugate plain objects determination relate to a new method of plain objects recognition in images by shape based on stochastic geometry. It is invariant with respect to projective distortions. A subsystem of image registration determines an optimal geometric transformation and register given input images based on it. This paper reviews existing methods of image registration and emphasizes parametric, non-parametric and hybrid image registration techniques. Experimental results confirm the efficiency of the proposed system.
  • Keywords
    computational geometry; geophysical image processing; image classification; image registration; image segmentation; land use; object detection; object recognition; remote sensing; stochastic processes; automatic image registration; digital image processing; hybrid image registration technique; image segmentation methods; land use classification process; nonparametric image registration technique; optimal geometric transformation; parametric image registration technique; plain object detection; plain object recognition; remote sensing tasks; stochastic geometry; Image recognition; Image registration; Image segmentation; Minimization; Object detection; Pattern recognition; Remote sensing; an arbitrary contour decomposition; hybrid image registration; non-parametric image registration; parametric image registration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on
  • Conference_Location
    Alberobello
  • Print_ISBN
    978-1-4799-3019-7
  • Type

    conf

  • DOI
    10.1109/INISTA.2014.6873621
  • Filename
    6873621