The parasite of the Plasmodium genus that causes malaria is fatal and spreads to people through the bite of female Anopheles mosquitoes.As the disease is life-threatening, the process of detection should be more time efficient and accurate. Conventional methods include a stained blood sample placed on a slide and observed under a microscope, a great amount of concentration and experience is required. A veteran technician with great knowledge is essential. The detection and diagnosis of malaria depend on the knowledge and experience of the technician. Automation in the field of medicine will boost the speed of diagnosis and detection resulting in less time consumption with accurate results. This paper aims to build an image processing for the early detection of malaria using microscopic blood smear images.

Malaria, Lethal, Detection, Blood Smear, Image Processing