PENDETEKSIAN MALARIA DALAM CITRA MIKROSKOPIS SEL DARAH MENGGUNAKAN SEGMENTASI CITRA: DETECTION OF MALARIA IN MICROSCOPIC IMAGES OF BLOOD CELLS USING IMAGE SEGMENTATION

Naibaho, Julius Panda Putra

JISTECH: Journal of Information Science and Technology
Vol 6 No 1 (2014): Februari 2014

There are four species of the Plasmodium parasite that can cause malaria in humans, plasmodium falciparum, plasmodium vivax, plasmodium malariae and plasmodium ovale. In human body, parasite plasmodium live and growth in heart then infected red blood cell and finaly caused malaria diseases. Convensionally, malaria detection is looking human blood using microscope. Conventional malaria detection do not support in analyzing paracite plasmodium because conventional malaria detection do not record the result of visual data. Today malaria detection is develop with analyzing microscopic image blood cell. Microscopic image is an image that recorded from microscope when looking blood cell. The colour of Parasite plasmodium object in microskopic image has different intensity with red blood cell. The different of their colour intensity be the key to detected the parasite plasmodium in microskopic image. In this research, the writer try to make an application to detecting and counting parasite plasmodium in microscopic image using image segmentation technic.