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
Link To Document :
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