• DocumentCode
    557741
  • Title

    An active contour method for tubular object segmentation

  • Author

    Zhu, Linlin ; Fan, Huijie ; Tang, Yandong ; Han, Jianda ; Li, Rouxi

  • Author_Institution
    State key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China
  • Volume
    3
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    1184
  • Lastpage
    1188
  • Abstract
    There are many tubular objects in image segmentation problems, such as vessel, road, and river and so on. In this paper, an active contour method is proposed for tubular object segmentation. This method is inspired by capillarity and based on the tubular structure enhancement. We get the tubular structure response direction as well as the response intensity by analyzing the Hessian matrices, and the response result is incorporated in the active contour model to control the curve´s evolution just along the tubular object´s extend direction. This active contour method is fit for tubular object segmentation, the experiments results valid our method.
  • Keywords
    Hessian matrices; edge detection; image enhancement; image segmentation; Hessian matrix; active contour; capillarity; curve evolution; image segmentation; response intensity; tubular object segmentation; tubular structure enhancement; Active contours; Eigenvalues and eigenfunctions; Equations; Image segmentation; Level set; Object segmentation; Vectors; capillarity; curve evolution; enhancement; segmentation; tubular object;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6100415
  • Filename
    6100415