• DocumentCode
    1555733
  • Title

    Annular filters for binary images

  • Author

    Heijmans, Henk J A M ; Ronse, Christian

  • Author_Institution
    Centre for Math. & Comput. Sci., Amsterdam, Netherlands
  • Volume
    8
  • Issue
    10
  • fYear
    1999
  • fDate
    10/1/1999 12:00:00 AM
  • Firstpage
    1330
  • Lastpage
    1340
  • Abstract
    A binary annular filter removes isolated points in the foreground and the background of an image. Here, the adjective “isolated” refers to an underlying adjacency relation between pixels, which may be different for foreground and background pixels. In this paper, annular filters are represented in terms of switch pairs. A switch pair consists of two operators which govern the removal of points from foreground and background, respectively. In the case of annular filters, switch pairs are completely determined by foreground and background adjacency. It is shown that a specific triangular condition in terms of both adjacencies is required to establish idempotence of the resulting annular filter. In the case of translation-invariant operators, an annular filter takes the form X→(X⊕A)∩X∪(X⊖B), where A and B are structuring elements satisfying some further conditions: when A∩B∩(A⊕B)≠Ø, it is an (idempotent) morphological filter; when A∪B⊂A⊕B, it is a strong filter and in this case it can be obtained by composing in either order the annular opening X→(X⊕A)∩X and the annular closing X→∪(X⊕B)
  • Keywords
    filtering theory; image processing; mathematical morphology; set theory; adjacency relation; annular closing; annular opening; background pixels; binary annular filter; binary images; foreground pixels; image background; image foreground; morphological filter; operators; switch pairs; translation-invariant operators; triangular condition; Computer science; Euclidean distance; Filters; Mathematics; Switches;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.791959
  • Filename
    791959