Malaria Detection Using Local Composition Pattern
J. A. Ovi, M E Haque, Abu Kalam, Sunjida Ahmed Jarin, Mohsen Ali, Mahamudul Hasan · Journal of Physics Conference Series · 2021
Abstract Malaria is a major global health problem. Every year thousands of people have been died because of this harmful disease. It is a life-threatening disease that is triggered by the “night-biting” mosquitoes known as the Anopheles mosquitoes. They normally bite at day time. In this paper, to detect malaria parasite in the bloodstream, an image processing algorithm has been developed. Our proposed approach can classify malaria-infected images from patient’s blood samples by extracting red blood cells (RBCs) from the images. Malaria detection using Local Composite Pattern (LBP) outperforms in comparison with the existing traditional approaches.