• DocumentCode
    2950494
  • Title

    Segmentation And Quantification Of The Cupriavidus Sp. Bacterium Using Microscopy Images

  • Author

    Ramachandram, Dhanesh ; Rajeswari, Mandava ; Sandrasekaran, Satrishson

  • Author_Institution
    Univ. Sains Malaysia, Penang
  • fYear
    2008
  • fDate
    4-6 Jan. 2008
  • Firstpage
    302
  • Lastpage
    305
  • Abstract
    We present a simple technique to isolate and detect Cupriavidus sp. bacterium in microscopy images as a non-destructive means to monitor the growth and evolution of the bacteria. The approach uses OTSU binarization on the saturation channel of the bacteria sample images followed by morphological processing. This method of analysis has significantly speeded up the monitoring of biomass production from Cupriavidus sp. Bacteria at our laboratories.
  • Keywords
    biology computing; image sampling; image segmentation; microorganisms; optical microscopy; bacteria sample images; cupriavidus segmentation-quantification; microscopy images; morphological processing; saturation channel; Chemical analysis; Costs; Image color analysis; Image processing; Image segmentation; Microorganisms; Microscopy; Monitoring; Plastics; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communications and Networking, 2008. ICSCN '08. International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4244-1924-1
  • Electronic_ISBN
    978-1-4244-1924-1
  • Type

    conf

  • DOI
    10.1109/ICSCN.2008.4447208
  • Filename
    4447208