Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Abdulyekeen, Abdulaziz Ola"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Item
    EVALUATING THE PERFORMANCE OF EPIPOLAR GEOMETRY FOR AUTOMATIC IMAGE REGISTRATION
    (Department of Geography, University of Ilorin, 2017-04) Ahmadu, Hussein Adomu; Abdulyekeen, Abdulaziz Ola; Alade, Azeez Kola; Yusuf, Abdulganiyu
    Image registration has being of great importance to a variety of applications in remote sensing, medical diagnosis, computer vision, and pattern recognition. Accordingly, several methods have been proposed by different researchers, with a view to enhance the performance of image registration process. This paper investigates the performance of automatic image registration using epipolar geometry. The epipolar geometry was recovered through the estimation of a fundamental matrix from matched image points. Then the rectification transform was computed using the F-matrix, and the images registered using epipolar correlation. A root mean square error (RMSE) of 0.032 and 00 was recorded for the correlated points. the paper reveals that the image registration process performed well and therefore suitable for remote sensing image registration

University of Ilorin Library © 2024, All Right Reserved

  • Cookie settings
  • Send Feedback
  • with ❤ from dspace.ng