• DocumentCode
    3414655
  • Title

    Enhanced snakes algorithm for contour detection

  • Author

    Yuen, P.C. ; Wong, Y.Y. ; Tong, C.S.

  • Author_Institution
    Dept. of Comput. Studies, Hong Kong Baptist Univ., Hong Kong
  • fYear
    1996
  • fDate
    8-9 Apr 1996
  • Firstpage
    54
  • Lastpage
    59
  • Abstract
    The contour based technique has been proven to be an effective approach in object recognition. This paper describes an enhanced snakes algorithm (ESA) for contour detection. In ESA, a novel split and merge technique is added to the original snakes model so as to enhance the model to support concave object contour detection. A set of images is selected to evaluate the proposed algorithm and the results are encouraging
  • Keywords
    edge detection; object recognition; concave object contour detection; enhanced snakes algorithm; object recognition; snakes model; split and merge technique; Active contours; Detection algorithms; Electronic mail; Force control; Iterative algorithms; Mathematical model; Mathematics; Object detection; Object recognition; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation, 1996., Proceedings of the IEEE Southwest Symposium on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-3200-8
  • Type

    conf

  • DOI
    10.1109/IAI.1996.493726
  • Filename
    493726