• DocumentCode
    327792
  • Title

    Moment and curvature preserving technique for accurate ellipse boundary detection

  • Author

    Heikkila, Janne

  • Author_Institution
    Dept. of Electr. Eng., Oulu Univ., Finland
  • Volume
    1
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    734
  • Abstract
    Circles and their elliptic projections are very commonly used image features in computer vision applications. Thus, it is very important to be able to determine their location in an accurate manner. A technique for determining an ellipse boundary with subpixel precision is proposed. The technique, called the moment and curvature preserving detection (MCP), utilizes the first three intensity moments and the intensity gradient of the image. The idea of using moments for subpixel edge detection is not new, but in the case of ellipses the moments do not provide sufficient information for precise detection. However, if the local curvature is augmented to the observations, the ellipse boundary can be determined reliably
  • Keywords
    computer vision; edge detection; eigenvalues and eigenfunctions; matrix algebra; curvature preserving technique; ellipse boundary detection; image features; intensity gradient; intensity moments; local curvature; moment preserving technique; subpixel edge detection; subpixel precision; Application software; Calibration; Cameras; Computer vision; Detectors; Face detection; Feature extraction; Image edge detection; Machine vision; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711250
  • Filename
    711250