• DocumentCode
    1989930
  • Title

    A novel method to count the red blood cells in thin blood films

  • Author

    Kareem, S. ; Morling, R.C.S. ; Kale, I.

  • Author_Institution
    Dept. of Electron. & Comput. Syst., Appl. DSP & VLSI Res. Group, Univ. of Westminster, London, UK
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    1021
  • Lastpage
    1024
  • Abstract
    This paper describes a novel idea to identify the total number of red blood cells (RBCs) as well as their location in a Giemsa stained thin blood film image. This work is being undertaken as a part of developing an automated malaria parasite detection system by scanning a photograph of thin blood film in order to evaluate the parasitemia of the blood. Not only will this method eliminates the segmentation procedures that are normally used to segment the cells in the microscopic image, but also avoids any image pre-processing to deal with non uniform illumination prior to cell detection. The method utilizes basic knowledge on cell structure and brightness of the components due to Giemsa staining of the sample and detects and locates the RBCs in the image.
  • Keywords
    biomedical optical imaging; blood; brightness; cellular biophysics; diseases; medical image processing; Giemsa stained thin blood film image; automated malaria parasite detection system; brightness; cell structure; image preprocessing; microscopic image; nonuniform illumination; photograph; red blood cell counting; segmentation; Blood; Diseases; Films; Gray-scale; Image segmentation; Lighting; Microscopy; Giemsa stain; Platelets; Red Blood Cells (RBCs); White Blood Cells (WBCs); morphological dilation and erosion; morphological opening and closing; plasmodium species;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4244-9473-6
  • Electronic_ISBN
    0271-4302
  • Type

    conf

  • DOI
    10.1109/ISCAS.2011.5937742
  • Filename
    5937742