• DocumentCode
    2509250
  • Title

    An Improved Fluid Vector Flow for Cavity Segmentation in Chest Radiographs

  • Author

    Xu, Tao ; Cheng, Irene ; Mandal, Mrinal

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    3376
  • Lastpage
    3379
  • Abstract
    Fluid vector flow (FVF) is a recently developed edge-based parametric active contour model for segmentation. By keeping its merits of large capture range and ability to handle acute concave shapes, we improved the model from two aspects: edge leakage and control point selection. Experimental results of cavity segmentation in chest radiographs show that the proposed method provides at least 8% improvement over the original FVF method.
  • Keywords
    edge detection; image segmentation; radiography; vectors; acute concave shapes; cavity segmentation; chest radiographs; control point selection; edge leakage; edge-based parametric active contour; fluid vector flow; Active contours; Cavity resonators; Dynamics; Force; Image edge detection; Image segmentation; Mathematical model; active contours; cavity; fluid vector flow; snakes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.824
  • Filename
    5597502