• DocumentCode
    190065
  • Title

    Identification of image angle using Projective Transformation: Application to banana images

  • Author

    Badariah Ahmad Mustafa, Nur ; Bakri, Fathinah ; Ahmed, Syed Khaleel

  • Author_Institution
    Center of Signal Process. & Control Syst. (SPaCS), Univ. Tenaga Nasional, Kajang, Malaysia
  • fYear
    2014
  • fDate
    14-16 April 2014
  • Firstpage
    408
  • Lastpage
    413
  • Abstract
    This paper presents the determination of the captured image angle and correcting the image distortion using Projective Transformation. A 5-Megapixel camera is used to capture 90 images including one reference image. The images are captured from various angles, distances and directions. An image registration technique is applied to align the captured image with the reference image. Projective transformation is one of the approaches used to map the pixel locations from the input image (moving data) to the new locations in an output image by referring to the reference image (fixed data). Trigonometric function (cosine theorem) is then used to calculate the rotation angle of the captured image and image scaling value. Scaling value shows the scale of expansion and contraction of the captured image after applying image registration process. For this project, all manipulations are performed using MATLAB.
  • Keywords
    image registration; image sensors; MATLAB; banana images; cosine theorem; image angle identification; image distortion; image registration process; image registration technique; image scaling value; megapixel camera; pixel locations; projective transformation; reference image; rotation angle calculation; trigonometric function; Cameras; Image registration; Interpolation; MATLAB; Region 10; Shape; Vectors; Image Registration Process; Projective Transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Region 10 Symposium, 2014 IEEE
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-2028-0
  • Type

    conf

  • DOI
    10.1109/TENCONSpring.2014.6863067
  • Filename
    6863067