Detection of Malarial Using Systematized Image Processing

Abstract

The disease, Malaria, is caused by Plasmodium Parasite, and is transmitted via female Anopheles mosquito bite. There are 4 variants of plasmodium which cause malaria, they are, 1) Plasmodium falciparum, 2) Plasmodium vivax, 3) Plasmodium ovale, and 4) Plasmodium malariae. Though there are several clinical and laboratory techniques for finding the presence of malaria, the accuracy and the time required to determine the presence of the parasite are inadequate. Therefore, in this work, we have come up with a system that uses image-processing techniques to determine the presence of malaria in Human RBCs. In addition, the system determines the severity and stage of the malarial parasite. Malaria is brought on by the Plasmodium parasite and spread via female Anopheles mosquito bites. Plasmodium falciparum, Plasmodium vivax, Plasmodium ovale, and Plasmodium malariae are the four plasmodium species that cause malaria. Although there are a number of clinical and laboratory methods for detecting the presence of malaria, the speed and precision needed to do so are insufficient. As a result, in this study, we have developed a system that employs image-processing methods to ascertain if there is malaria present in human RBCs. The technique also establishes the malarial parasite's stage and intensity.