• DocumentCode
    1554766
  • Title

    Salience Adaptive Structuring Elements

  • Author

    Curic, V. ; Luengo Hendriks, C.L. ; Borgefors, G.

  • Author_Institution
    Centre for Image Anal., Uppsala Univ., Uppsala, Sweden
  • Volume
    6
  • Issue
    7
  • fYear
    2012
  • Firstpage
    809
  • Lastpage
    819
  • Abstract
    Spatially adaptive structuring elements adjust their shape to the local structures in the image, and are often defined by a ball in a geodesic distance or gray-weighted distance metric space. This paper introduces salience adaptive structuring elements as spatially variant structuring elements that modify not only their shape, but also their size according to the salience of the edges in the image. Morphological operators with salience adaptive structuring elements shift edges with high salience to a less extent than those with low salience. Salience adaptive structuring elements are less flexible than morphological amoebas and their shape is less affected by noise in the image. Consequently, morphological operators using salience adaptive structuring elements have better properties .
  • Keywords
    image processing; geodesic distance; gray-weighted distance metric space; morphological amoebas; morphological operator; salience adaptive structuring element; spatially variant structuring element; Educational institutions; Electronic mail; Image analysis; Image edge detection; Morphology; Shape; Transforms; Adaptive mathematical morphology; anisotropic filtering; morphological amoebas; salience distance transform;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Signal Processing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1932-4553
  • Type

    jour

  • DOI
    10.1109/JSTSP.2012.2207371
  • Filename
    6235987