Identification of Giemsa Staind of Malaria Using K-Means Clustering Segmentation Technique

Malaria is disease the most common in the world. The disease is caused by mosquito bites anywhere. The identification process will take some time to deliver maximum results. One of the techniques used to identification image of blood cell is segmentation, the technique used in this study is a K-Means. K-means clustering algorithm can be combined with segmentation technique to obtain the identification of malaria virus. In on this study K-Means clustering segmentation techniques capable of providing identification automation with Giemsa staining of malaria, and the results of blood that is infected will be directly identified.