• DocumentCode
    3062750
  • Title

    A Hough transform based approach to polyline approximation of object boundaries

  • Author

    Gupta, Arbind K. ; Chaudhury, Santanu ; Parthasarathy, Guturu

  • Author_Institution
    Dept. of Electron. & Electr. Commun. Eng., Indian Inst. of Technol., Kharagpur, India
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    472
  • Lastpage
    475
  • Abstract
    A technique is presented for obtaining a polygonal approximation of object contours directly from the edge images. The technique is based on a new formulation of the Hough transform (HT) for aggregation of edge points into line segments. The space requirement of the HT is brought down by considering a different parameterization of straight lines. In this method, the process of edge linking and boundary approximation are combined into a single algorithm. Consequently, the scheme is computationally more efficient than the classical boundary approximation techniques which require use of a separate edge linking algorithm. Experimental results highlight the effectiveness of this method for approximating object boundaries of polygonal as well as curved shapes present in the images of complex multi-object scenes
  • Keywords
    Hough transforms; edge detection; feature extraction; image segmentation; Hough transform; artificial machine parts; boundary approximation; complex multi-object scenes; curved shapes; edge images; edge linking; edge point aggregation; line segments; object boundaries; object contours; polygonal approximation; polyline approximation; straight line parameterization; thinning; Approximation algorithms; Computer vision; Dynamic programming; H infinity control; Image edge detection; Image segmentation; Joining processes; Layout; Shape; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2920-7
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.202027
  • Filename
    202027