Computer Automation for Malaria Parasite Detection Using Linear Programming
In this project, we introduce a new approach to represent a mathematical modeling technique by means of linear programming as an efficient tool to solve problems related to medical imaging problems related to Malaria Diagnosis through Microscopy Imaging problems. Two applications are approached: (1) Formulation of a linear programming model based on the given data, (2) Solving and displaying the result using graphical method approach for detecting parasite. The application mainly consists of developing a linear mathematical model from the collected information and in addition to it, the problem is solved by Graphical approach. By this we mark the region infected with malaria from the original image which leads to identifying parasite. By observation of graph it can be predict whether the blood is infected by parasite or not. The species of parasite infected the erythrocytes can also be classified and parasite can be identified by labeling the infected area.
Vipul Parkhi,Pooja Pawar,Archana Surve