An Analytical Study on Different Image Segmentation Techniques for Malaria Parasite Detection

Malaria is a dangerous disease affecting the mortality rate in humans to a large extend. Plasmodium vivax is the most dangerous parasite for the cause of the widespread of malaria. In the present, many developing countries have a burgeoning scale of children being affected by this parasite, distressing the economic and social toll of a nation. Manual detection of this disease is a time-consuming process. So, an automatic or semiautomatic technique to detect the Plasmodium Vivax infected cell is utmost required for timely detection and thereby treatment of the same to eradicate the disease breakout. In this paper, an analytical study is carried out on various image segmentation techniques such as thresholding, a clustering method, histogram-based method etc which may be adopted for the segmentation of Plasmodium Vivax infected cells.