Automated Detection of Morphological Implications on RBC Consequent to Infections with Human Plasmodium vivax and Plasmodium falciparum
Abstract
Morphological changes during infection with Plasmodium vivax and Plasmodium falciparam. The most used test is the blood smear
on microslide that is stained to show the parasites inside RBC. The current diagnostic methods can help in correct diagnosis but cannot give any
measurable changes that occur in cytoplasm induced by Plasmodium vivax and Plasmodium falciparam on the host erythrocytes (RBC).In this
proposed technique, the microscopic images of the infected erythrocytes are obtained from the electron microscope. The image is preprocessed
to remove noise and segmentation is applied to detect the edges. Then contour extraction is done to extract the features like perimeter, area, form
factor etc. Finally the morphological changes of the infected RBC’s are compared with that of normal RBC’s and the level of infections are
determined. The proposed method provides a solution for statistical identification of infected RBC’s by determining the changes in the
erythrocytes and the severity of the disease with the level of infestation. In addition to that zooming operations and histogram generation can be
performed by the system for any microscopic images given as input.
Keywords— Plasmodium falciparum, Plasmodium vivax, Zooming, Aggregates, Erythrocytes
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PDFDOI: https://doi.org/10.26483/ijarcs.v2i2.419
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Copyright (c) 2016 International Journal of Advanced Research in Computer Science

