• DocumentCode
    3370178
  • Title

    Metric tensor for multicomponent edge detection

  • Author

    Rousseau, Sylvain ; Helbert, David ; Carré, Philippe ; Blanc-Talon, Jacques

  • Author_Institution
    XLIM, Univ. of Poitiers, Futuroscope Chasseneuil, France
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1953
  • Lastpage
    1956
  • Abstract
    In this paper, we present the use of differential geometry for the segmentation of multispectral images, which allows us to unify several known methods including projecting onto a particular axis or a particular plan. This is done by choosing a metric tensor on the feature space computing the pullback of the metric tensor and applying standard Di Zenzo algorithm.
  • Keywords
    edge detection; image segmentation; tensors; image segmentation; metric tensor; multicomponent edge detection; multispectral images; Artificial neural networks; Image color analysis; Image edge detection; Measurement; Noise; Tensile stress; Riemannian manifold; metric pullback; metric tensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5653763
  • Filename
    5653763