• DocumentCode
    1620095
  • Title

    3D Reconstruction Using Image Contour Data Structure

  • Author

    Li, Yong ; Belkasim, Saeid ; Pan, Yi ; Edwards, Donald ; Antonsen, Brian

  • Author_Institution
    Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA
  • fYear
    2006
  • Firstpage
    3292
  • Lastpage
    3295
  • Abstract
    Fast and accurate 3D object reconstruction from 2D image slices represents a difficult and challenging problem. Scientists have to either manually define the boundary of the partial object which is time consuming and may lack accuracy or provide the object boundary data which requires all objects be segmented. In this paper, we propose a new method for 3D reconstruction based on optimal image contour mapping. We also propose a novel data structure to represent the corresponding 3D objects. In our approach, all object contours in the same slice as well as adjacent slices are automatically segmented and combined in a hierarchical tree data structure. This data structure allows fast 3D object retrieval and 3D component analysis
  • Keywords
    biomedical optical imaging; image reconstruction; image retrieval; image segmentation; medical image processing; tree data structures; 3D component analysis; 3D reconstruction; fast 3D object retrieval; hierarchical tree data structure; image contour data structure; image segmentation; optimal image contour mapping; Data structures; Image edge detection; Image enhancement; Image reconstruction; Image segmentation; Information retrieval; Neurons; Rendering (computer graphics); Software packages; Tree data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1617180
  • Filename
    1617180