• DocumentCode
    2372770
  • Title

    Locally adaptable mathematical morphology

  • Author

    Cuisenaire, Olivier

  • Author_Institution
    Signal Process. Inst., Ecole Polytech. Fed. de Lausanne, Switzerland
  • Volume
    2
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    We investigate how common binary mathematical morphology operators can be adapted so that the size of the structuring element (SE) can vary across the image. We show that when the SE are balls of a metric, locally adaptable erosion and dilation can be efficiently implemented as a variant of distance transformation algorithms. Opening and closing are obtained by a local threshold of a distance transformation, followed by the adaptable dilation.
  • Keywords
    image processing; mathematical morphology; adaptable dilation; adaptable erosion; binary mathematical morphology operators; distance transformation algorithms; structuring element; Cameras; Computational efficiency; Image analysis; Image processing; Morphology; Pixel; Signal processing; Signal processing algorithms; Traffic control; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530007
  • Filename
    1530007
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2372770