Detection of Malaria Parasites in Blood Samples Using Image Processing Techniques

https://doi.org/10.46610/JOIPAI.2023.v09i01.005

Abstract

Malaria, the most lethal disease brought on by mosquito bites, used to impact a lot of people. To identify malaria, blood samples from the patient are collected and sent to a lab, where they are inspected under a microscope and tested for different chemicals. Before the patient receives the necessary treatment for their health problems, which will lead to their death, the test sample result will be older than a week. Despite technological advances, this illness still affects residents of rural areas, and it still takes time for testing and results to be returned. In this work, Image analysis is the most effective method for quickly diagnosing illness. Images of thin, discoloured blood smears were created for this work. Along with features that are similar to features used by human technicians and are based on prior knowledge of the classification problem, the geometry, texture and colour of the cells are the image features and based on the image features the parasites are also created after they have been obtained, pre-processed, and applicable features removed. It separates true positives before determining the infection type.