Plasmodium Vivax in Thin Blood Smear Classification Using Fuzzy Inference System with Automatic Membership Functions and Rules Generation

Malaria can be spread to human by anopheles female mosquitoes. There are four prevalent Plasmodium species responsible for malaria in humans. One of the four species, Plasmodium vivax or P. vivax, is selected in this paper. Its infected cell detection system based on image processing is developed. We automatically generate membership functions of inputs using the possibilistic fuzzy C-means. The Wang-Mendel (WM) method is used to automatically generate rules in the Mamdani fuzzy inference system. Although there are misclassifications because of the wrongly classified cells with similar characteristics to the opposite class, the correct classification rate of the training data is 93.65%. Whereas that of the blind test data set is 99.58%.