• DocumentCode
    2102031
  • Title

    Automatic 3D reconstruction of quasi-planar stereo Scanning Electron Microscopy (SEM) images*

  • Author

    Roy, Sandip ; Meunier, Jean ; Marian, A.M. ; Vidal, Fabrice ; Brunette, Isabelle ; Costantino, S.

  • Author_Institution
    Dept. of Comput. Sci. & Oper. Res., Univ. de Montreal, Montreal, QC, Canada
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    4361
  • Lastpage
    4364
  • Abstract
    Scanning Electron Microscopy (SEM) is widely used in science to characterize the surface roughness of materials. Three-dimensional information can be obtained with SEM based on stereovision techniques. A stereo pair is typically obtained by tilting the sample by a few degrees. In this paper we present a fully automated method for 3D reconstruction from a SEM stereo pair without any particular constraint. Results are presented for corneal stromal surfaces.
  • Keywords
    biomedical optical imaging; eye; image reconstruction; image sampling; medical image processing; scanning electron microscopy; stereo image processing; surface roughness; vision; SEM; automatic 3D image reconstruction; corneal stromal surfaces; quasiplanar stereo scanning electron microscopy images; sample tilting; stereo pair; stereovision techniques; surface roughness; three-dimensional information; Scanning electron microscopy; Stereo image processing; Surface reconstruction; Surface topography; Three dimensional displays; Algorithms; Corneal Stroma; Humans; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Microscopy, Electron, Scanning; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6346932
  • Filename
    6346932