• DocumentCode
    293604
  • Title

    Simultaneous tracking of the two edges of linear structures

  • Author

    Lecornu, Laurent ; Jacq, Jean José ; Roux, Christian

  • Author_Institution
    Dept. Image et Traitement de l´´Inf., Telecom Bretagne, Brest, France
  • Volume
    1
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    188
  • Abstract
    A new approach is presented for the detection of linear structures boundaries. The initial objective is the structure detection and its analysis, especially the diameter estimation. The main idea of the method is to use a uniform cost algorithm adapted to the two borders simultaneous tracking. The node represents a set of two edges (a right border and a left border linked by a diameter vector). The cost of the node is calculated from the contrast of the structure border, the angle between the diameter vector and the local edge gradient vectors and the curvature of the path. In order to reduce the search complexity, some heuristics are introduced. For each detected structure, a starting node and research area are defined. The preliminary results obtained on synthetic images and on DSA images are very interesting. The method allows the detection to be performed through the branching structures and overlapping ones. In addition, simulation studies show the robustness of the method with respect to noise
  • Keywords
    boundary-value problems; edge detection; graph theory; image representation; medical image processing; search problems; tracking; trees (mathematics); DSA images; cardiac angiograms; diameter estimation; diameter vector; edge detection; edge tracking; graph; image representation; linear structures boundaries detection; local edge gradient vectors; noise robustness; path curvature; research area; search complexity reduction; simulation studies; simultaneous tracking; starting node; structure analysis; structure border; structure detection; synthetic images; uniform cost algorithm; Computed tomography; Cost function; Image edge detection; Matched filters; Noise robustness; Pixel; Space exploration; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413301
  • Filename
    413301