• DocumentCode
    492187
  • Title

    Finding the Smallest Ellipse Containing a Point Set based on Genetic Algorithms

  • Author

    Li, Shixiang ; Fan, Hong ; Wang, Yuli

  • Author_Institution
    State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    693
  • Lastpage
    696
  • Abstract
    Finding one of the smallest non-standard ellipse containing a given point set, is very useful in image and picture labeling. The paper presents an approach to seek the ellipse. The paper was not going to seek the equation of the ellipse, it solved the 5 elliptical parameters (the long axis a, the short axis b, the elliptical center and the rotation k) for determining the ellipse, instead. In order to reduce the problem complexity, the search of non-standard ellipse was turned into the standard ellipse´s search through spatial coordinate transformation. And the genetic algorithms are adopted to optimize the ultimate aim to solve the smallest non-standard ellipse. The experiment results show that the approach is effective.
  • Keywords
    computational complexity; genetic algorithms; geometry; set theory; genetic algorithms; point set; problem complexity; smallest non standard ellipse; spatial coordinate transformation; Application software; Computer graphics; Equations; Genetic algorithms; Genetic engineering; Geology; Geoscience and remote sensing; Labeling; Laboratories; genetic algorithms; point set; smallest ellipse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3530-2
  • Electronic_ISBN
    978-1-4244-3531-9
  • Type

    conf

  • DOI
    10.1109/KAMW.2008.4810584
  • Filename
    4810584