• DocumentCode
    3554303
  • Title

    Significant point detection and boundary representation with lines and circular arcs, using a scanning box method

  • Author

    Yoon, Sung H. ; Kim, Jung H. ; Park, Eui H. ; Ntuen, Celestine A. ; Sohn, Kwang H. ; Nilsson, Ame A. ; Kim, Yong H.

  • Author_Institution
    North Carolina A&T State Univ., Greensboro, NC, USA
  • fYear
    1991
  • fDate
    7-10 Apr 1991
  • Firstpage
    915
  • Abstract
    A boundary curve is represented by circular arcs and lines to obtain explicit geometrical features. Corner points, which are local extremum points, are detected by the symmetry property of the points. An inflection point is a zero-crossing point between two neighboring extremum points. In the LMS (least-mean-square) sense, a circular arc between two neighboring significant points is optimized. The similarity of neighboring segments is checked in radius and center, and the segments are merged when the difference is negligible. The representation result obtained here is a good approximation of the original curve, in the sense that it makes critical points explicit and achieves error-minimized representation
  • Keywords
    least squares approximations; picture processing; LMS algorithm; boundary representation; circular arcs; corner points; images; inflection point; lines; scanning box method; significant point detection; Computer errors; Computer vision; Equations; Least squares approximation; Linear approximation; Newton method; Optimization methods; Pattern recognition; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon '91., IEEE Proceedings of
  • Conference_Location
    Williamsburg, VA
  • Print_ISBN
    0-7803-0033-5
  • Type

    conf

  • DOI
    10.1109/SECON.1991.147893
  • Filename
    147893