A novel technique for malaria diagnosis using invariant moments and by image compression

Abstract

Several new methods of malaria diagnosis have recently been developed, but these all relay on clinical notion and, consequently, and explicit clinical request. Although some methods lend themselves to automation, no technique can yet be used for routine clinical automated screening. Detection of birefringent haemozoin has been used to diagnose malaria since the turn of the 20th century. New generations of full blood count analyzers, used widely in clinical laboratories, have the potential to detect haemozion in white blood cells and probably erythrocytes. This paper describes the novel technique for malaria diagnosis. This work introduces a blood image processing for detecting malarial parasites in images of Giemsa stained blood slides, in order to evaluate the parasitaemia of the blood. Generally blood images are made up of three different kinds of cells, red, white and blood platelets. Their dimension, shape and their color distinguish these. In malarial blood cell, the red corpuscles of vertebrates are infected by malarial parasites. The aim of this paper is to detect the red blood cells that are infected by malarial parasites using statistical based approach. Further evaluation of the size and shape of the nuclei of the parasite is also considered. © 2008 Springer-Verlag.