Identify malaria parasite using pattern recognition technique

Moving with the technological advancement in the field of bio imaging processing this paper presents an innovative digital technique detecting parasitic protozoa of the genus Plasmodium. Traditionally, in clinical laboratories the direct microscopic prediction of the parasite on the thick and/or thin blood smears are used for the diagnosis of malaria. It involves collection of a blood smear, its staining with Romanowsky stains and examination of the Red Blood Cells for intracellular malarial parasites. In blood samples, if the red corpuscles of vertebrates are infected by malarial parasites, they will have a specific shape which can identify their presence. Recent research has suggested that the shape of the affected red blood cells can be detected using the 2D moments of the image of the infected cell. In this paper an algorithm is implemented to identify the type of parasite through their color and shape. This technique can detect the existence of malaria parasite within seconds and thus can replace the conventional methods of detection of malaria in bio-medical applications and medical science. The proposed method can automatically diagnose the parasite's presence using the algorithm mentioned which consumes less time and man power as compare to conventional methods.