Detection of Aedes Aegypti mosquito by digital image processing techniques and support vector machine

In this paper, it uses digital image processing and support vector machine (SVM) to detect aedes aegypti mosquito. Aedes aegypti mosquito is a carrier of dengue virus which causes the problem that is called dengue hemorrhagic fever. As of today there is still no particular medicine for the treatment of such. As a result the study proposed a way on how to detect if a mosquito is an aedes aegypti or not using SVM in Matlab. First, it was trained by feeding images of aedes aegypti and not aedes aegypti such as aedes albopictus and culex that were taken at different views, highlighting their unique features. In the image processing, the features were extracted and then classified to aedes aegypti or not aedes aegypti. Confusion matrix was used to show the accuracy of the system in detecting the Aedes Aegypti mosquito.