• DocumentCode
    327785
  • Title

    Depth from physics: physics-based image analysis and feature definition

  • Author

    Hattery, David ; Loew, Murray

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    711
  • Abstract
    Blood vessels overlying one another at distinct depths (and hence appearing to intersect) in the conjunctiva of the eye can be distinguished reliably from those that in fact do branch within the same depth, using only the information contained in a single photograph of the conjunctiva. That conclusion arises from extension of earlier work that qualitatively inferred relative depth of vessels. The current research was motivated by the need to quantify such inferences in terms of their sensitivities and robustness. Features extracted from an image are shown to be useful in that effort; their utility is verified with phantoms that mimic the behavior of the conjunctiva and the backing sclera. Because no special preparations are needed, the method works as well on archived images as on newly-acquired ones, and thus can be used in retrospective studies of images of the eye and other diffuse media
  • Keywords
    biomedical imaging; biomembranes; blood vessels; diseases; eye; feature extraction; image segmentation; light scattering; medical image processing; photographic applications; physiological models; archived images; backing sclera; conjunctiva; diffuse media; eye; feature definition; phantoms; physics-based image analysis; retrospective studies; robustness; sensitivities; single photograph; Biomedical imaging; Biomembranes; Diseases; Image analysis; Light scattering; Lighting; Mie scattering; Particle scattering; Physics; Read only memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711243
  • Filename
    711243