• DocumentCode
    2525999
  • Title

    Three-Dimensional Image Surface Reconstruction Based on Sequence Images

  • Author

    Yang, Dan ; Qu, Zhong

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Chongqing Univ., Chongqing, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Three-dimensional image surface reconstruction with cross-sectional images is a kind of significant model built upon the two-dimensional image in the digital image processing. It reconstructs the three-dimensional shape of the workpiece with a sequence of cross-sectional images. The three-dimensional image surface reconstruction method derived from computed tomography images is focused in this article. Based on a sequence of cross-sectional images, this article proposes an approach to establish three-dimensional image surface reconstruction model. The main work includes: (1) describing three-dimensional surface reconstruction; (2) providing edge detection algorithms to quantify trust and a description for experiences; (3) evolving the implementation of 3-D image surface reconstruction with a sequence of cross-sectional images. A simulation is conducted to verify the rationality and validity of the approach at the end of the article.
  • Keywords
    computerised tomography; diagnostic radiography; edge detection; image reconstruction; image sequences; medical image processing; computed tomography; cross-sectional image sequence; digital image processing; edge detection algorithm; three-dimensional image surface reconstruction; three-dimensional shape; Biomedical imaging; Educational institutions; Image edge detection; Image reconstruction; Mathematical model; Medical diagnostic imaging; Shape; Solid modeling; Surface reconstruction; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163685
  • Filename
    5163685