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Title: Machine Counting of Malaria Infected Blood Cells Using RGB Images
Authors: Wijesinghe, W.D.P.
Hiran H. E. Jayaweera
Keywords: Machine Counting of Malaria Infected Blood Cells Using RGB Images
Issue Date: 2015
Citation: Proceedings of the Technical Sessions, 3 1 (201 5 ) 45 - 52, Institute of Physics – Sri Lanka
Abstract: The most widely used laboratory confirmation technique for malaria is visual inspection of Giemsa stained blood smears on microscope. A detection and counting method for malaria infected blood cells in a colour (RGB) microscopic image was developed with th e help of machine vision and artificial neural networks (ANN). The developed system is capable of detecting individual blood cells in the image and recognized them as malaria infected or non - infected. The system is capable of producing the number of blood cells in each category, which can be use d as an indicator of severity of infection. The system was trained for 40 blood cells (from seven images) manually marking them as infected or non - infected , and 120 blood cells (from 15 images) were used to test the system. The sensitivity and the specificity of the system for that data set was found to be 90.0 % and 95.7 % respectively for the images of blood cells of malaria infected and uninfected by Plasmodium falciparum parasites.
URI: 1.
Appears in Collections:Department of Physics

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