Automated Malaria Detection from Blood Samples Using Image Processing

Abstract

Malaria is a life-threatening parasitic disease, caused by the protozoan parasites of the genus Plasmodium and is transmitted through the bite of a female Anopheles mosquito. During this process, the red blood cells (RBCs) are used as hosts and are destroyed afterwards. It is an important determinant in selecting the appropriate treatment and drug dose. Here we are going to propose a method to detect the presence of malaria causing parasites in human blood by applying various image processing techniques on the microscopic images of the blood samples.

Authors and Affiliations

R. Yogapriya, S. Supriya, S. Sushmitha, L. Raji

Keywords

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  • EP ID EP21854
  • DOI -
  • Views 252
  • Downloads 4

How To Cite

R. Yogapriya, S. Supriya, S. Sushmitha, L. Raji (2016). Automated Malaria Detection from Blood Samples Using Image Processing. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(4), -. https://europub.co.uk./articles/-A-21854