• DocumentCode
    303890
  • Title

    Reconstructing ellipsoids from its three projections

  • Author

    Kayikcioglu, Temel ; Ozer, Mahmut ; Gangal, Ali

  • Author_Institution
    Dept. of Electr. & Electron. Eng., KTU, Trabzon, Turkey
  • Volume
    2
  • fYear
    1996
  • fDate
    13-16 May 1996
  • Firstpage
    1079
  • Abstract
    A method for reconstructing ellipsoids from their three projection contours is described. The line integral projection of an ellipsoid with uniform density is developed for any projection view. Our reconstruction algorithm starts with the detection of projection contours having an elliptic shape. Three sets of estimated ellipse parameters are then used in reconstructing the ellipsoid. The method takes into account background, noise and blurring. The performance of the method is evaluated for various types of background structures, different ellipsoid dimensions and different levels of noise. The results demonstrate the validity and usefulness of the proposed method
  • Keywords
    computational geometry; image reconstruction; noise; background structures; blurring; ellipsoid dimensions; ellipsoid reconstruction; elliptic projection contour detection; estimated ellipse parameters; line integral projection; noise; noise levels; projection contours; projection view; reconstruction algorithm; Arteries; Background noise; Biomedical imaging; Computer vision; Ellipsoids; Image edge detection; Image reconstruction; Noise level; Noise shaping; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
  • Conference_Location
    Bari
  • Print_ISBN
    0-7803-3109-5
  • Type

    conf

  • DOI
    10.1109/MELCON.1996.551395
  • Filename
    551395