• DocumentCode
    2401244
  • Title

    A hierarchical description of digital grayscale images based on image dipoles

  • Author

    Chinveeraphan, Supoj ; Takamatsu, Ryo ; Sato, Makoto

  • Author_Institution
    Precision & Intelligence Lab., Tokyo Inst. of Technol., Yokohama, Japan
  • Volume
    2
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    246
  • Abstract
    Deals with a hierarchical description of digital grayscale images based on non-local structural features, called image dipoles. An image dipole is defined to be a region whose lines of slope emanate from the same maximum, and reach the same minimum. Incorporating an image dipole based representation of an image into a scale-space filtering, we propose in this paper a hierarchical image dipole description of the image. The proposed description consists of image dipole networks of some scales, and linking of image dipoles across the scales such that the description contains all local transformations of the image dipole network in the scale-space
  • Keywords
    filtering theory; image representation; image segmentation; digital grayscale images; hierarchical description; image dipole; nonlocal structural features; scale-space filtering; Digital images; Eigenvalues and eigenfunctions; Filtering; Gray-scale; Image analysis; Image resolution; Image segmentation; Intelligent structures; Kernel; Laboratories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546826
  • Filename
    546826