• DocumentCode
    693800
  • Title

    Implementation of 3D Object Reconstruction Using Radon Transform

  • Author

    Sobani, Siti Syazalina Mohd ; Daud, Siti Asmah ; Mahmood, Nurul H.

  • Author_Institution
    Fac. of Biosci. & Med. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    284
  • Lastpage
    288
  • Abstract
    This paper presents reconstruction of objects using multiple-views of 2D images. As a first step to get familiar in research field, it is simply done with several MATLAB image processing tools while acquisition of data is captured by a digital camera where the object statically stands in front of a cardboard as a background. The digital camera used is a mobile phone camera which it is fixed at a place and captures 36 different angles of views in order to get projection images for more accurate shape can be reconstructed. The 36 views are obtained using a piece of paper with reference angle drew on it in order to rotate the object. There are several image processing techniques applied on the images to reconstruction them as a 3D image which are thresholding, Radon transform, inverse Radon transform and also edge detection. The results obtained show that 3D reconstruction has successfully created where it is good enough to reconstruct exactly same shape as the original object.
  • Keywords
    Radon transforms; edge detection; image reconstruction; 2D image multiple-view; 3D object reconstruction; MATLAB image processing tools; Radon transform; data acquisition; digital camera; edge detection; inverse Radon transform; mobile phone camera; projection images; reference angle; Image edge detection; Image reconstruction; MATLAB; Shape; Solid modeling; Three-dimensional displays; Transforms; 3D reconstruction; Radon transform; edge detection; inverse Radon transform; thresholding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Modelling and Simulation (AIMS), 2013 1st International Conference on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4799-3250-4
  • Type

    conf

  • DOI
    10.1109/AIMS.2013.52
  • Filename
    6959930