• DocumentCode
    1769335
  • Title

    Real time blood image processing application for malaria diagnosis using mobile phones

  • Author

    Dallet, Corentin ; Kareem, Saumya ; Kale, I.

  • Author_Institution
    Appl. DSP & VLSI Res. Group, Univ. of Westminster, London, UK
  • fYear
    2014
  • fDate
    1-5 June 2014
  • Firstpage
    2405
  • Lastpage
    2408
  • Abstract
    This paper describes a fast and reliable mobile phone Android application platform for blood image analysis and malaria diagnosis from Giemsa stained thin blood film images. The application is based on novel Annular Ring Ratio Method which is already implemented, tested and validated in MATLAB. The method detects the blood components such as the Red Blood Cells (RBCs), White Blood Cells (WBCs), and identifies the parasites in the infected RBCs. The application also recognizes the different life stages of the parasites and calculates the parasitemia which is a measure of the extent of infection.
  • Keywords
    blood; diseases; medical image processing; microorganisms; patient diagnosis; real-time systems; smart phones; Android application platform; Annular Ring Ratio Method; Giemsa stained thin blood film images; MATLAB; blood components; blood image analysis; infected RBC; infection; malaria diagnosis; mobile phones; parasite life stages; parasitemia; parasites; real time blood image processing application; red blood cells; white blood cells; Blood; Diseases; Filtering; Image edge detection; MATLAB; Smart phones; Android; Annular Ring Ratio method; Gametocytes; Java; Malaria; RBC; RGB to gray scale conversion; SD card; Schizonts; Trophozoite; WBC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
  • Conference_Location
    Melbourne VIC
  • Print_ISBN
    978-1-4799-3431-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2014.6865657
  • Filename
    6865657