An Overview of Malaria Identification Techniques for Microscope Blood Images

Abstract

Malaria is a deathly disease caused by parasites that are transmitted to human through the bite of infected Anopheles mosquitoes. One of these parasites, P. Falciparum can progress to severe illness and often lead to death if not treated within 24 hours. Thus, early diagnosis of parasites in the red blood cell is crucial to decrease the number of malaria victim. Manual diagnosing require a well trained medical staff and several tools. This can be optimized using digital image processing to reliably detect or classify the presence of the parasites in red blood digital image. By doing microscopic digital image processing, the expected image of microscopic blood clots can be analyzed more effective, efficient and accurate. This paper provide an overview of the previous study of malaria identification techniques. We categorize differrent technique of microscopic digital image processing from preprocessing step to identification step and provide a clear comparison between them in term of pros and cons and identification accuracy.