• DocumentCode
    1870712
  • Title

    An automatic framework for standardization of drosophila embryonic images

  • Author

    Li, Qi ; Xing, Guangming ; Shindhelm, Art

  • Author_Institution
    Dept. of Comput. Sci., Western Kentucky Univ., Bowling Green, KY
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1824
  • Lastpage
    1827
  • Abstract
    Embryonic images of Drosophila melanogaster were introduced as an important tool for the discovery of gene-gene interaction, which can be characterized as a computational problem of matching expression patterns of embryos. As the first step of the computational system, image standardization aims to build pixel-to-pixel correspondence so that the comparison between embryonic images are biologically meaningful. Standardization of embryonic images is challenging due to substantial variations of imaging conditions and the appearances of embryos. In this paper, we propose a framework for automatic standardization of embryonic images. Experiment results show the significant improvement achieved by the proposed approach.
  • Keywords
    genetics; image matching; image resolution; medical image processing; standardisation; Drosophila embryonic images; Drosophila melanogaster; gene-gene interaction; image standardization; matching expression patterns; pixel-to-pixel correspondence; Art; Biology computing; Computer science; Detectors; Embryo; Gene expression; Image edge detection; Pixel; Shape; Standardization; Embryonic images; balanced points; convex hull; fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4712132
  • Filename
    4712132