• DocumentCode
    551059
  • Title

    Method of boundary detection based on B-spline curve fitting

  • Author

    Lu Shaofang ; Wang Kun ; Li Yufang ; Chen Yuncong

  • Author_Institution
    Sch. of Commun. Eng., Jilin Univ., Changchun, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    3248
  • Lastpage
    3253
  • Abstract
    In order to enhance the tracking accuracy and efficiency of the target area in vision navigation, this paper presents a new kind of boundary extraction n algorithm. It begins preprocessing the acquisition image to get binary image, then fills binary image area based on mathematical morphology to binary image and extracts boundary with classical algorithms, fuses many boundary information into a border area, finally applied non-uniform rational B-spline interpolation method to fit curve. The presented results indicate that this algorithm can correct extract arbitrary complicated shape boundary fast, which definitely provides a better basis for the following image processing.
  • Keywords
    computer vision; curve fitting; edge detection; interpolation; splines (mathematics); B-spline curve fitting; binary image; boundary detection; boundary extraction; image processing; mathematical morphology; nonuniform rational B-spline interpolation; tracking accuracy; vision navigation; Algorithm design and analysis; Curve fitting; Image processing; Robots; Spline; Surface reconstruction; Surface topography; B-Spline Curve; Boundary Extraction; Curve Fitting; Image Processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6001401