• DocumentCode
    2833481
  • Title

    Automated delineation of tree-rings in X-Ray Computed Tomography images of wood

  • Author

    Borianne, P. ; Pernaudat, R. ; Subsol, G.

  • Author_Institution
    CIRAD-UMR Amap, Montpellier, France
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    437
  • Lastpage
    440
  • Abstract
    In this paper, the authors present an original method for the automated recognition of tree-ring limits in X-Ray Computed Tomography images of wood. The method is based on two steps: tree-ring tagging, and tree-ring delineation. The first step is performed by analyzing the radial intensity profiles after locating automatically the pith, and the second step uses active contours which iteratively detect the different tree-rings, from the bark to the pith. In particular, the geometrical constraints included in the active contour algorithm allow getting coherent limits, without break or discontinuity. The method is robust enough to override the main artifact met in dendrology, as for example, nodes or splits and to deal with the very high variability of different tree species.
  • Keywords
    X-ray microscopy; computerised tomography; image recognition; iterative methods; wood processing; X-ray computed tomography images; active contour algorithm; automated tree-ring delineation; automated tree-ring limit recognition; coherent limits; dendrology; geometrical constraints; image processing; iterative detection; pith localization; radial intensity profiles; tree-ring tagging; wood imaging; Active contours; Computed tomography; Filtering; Robustness; Tagging; Vegetation; X-ray imaging; computed tomography; image processing; tree-ring; wood;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6116544
  • Filename
    6116544