Open AccessRecognition of Infected Erythrocytes by Inclusion Tree Representation and Parasitemia Estimation in Blood Smear Images
Author(s) -
R Doke Pranoti,
Doke Pooja R
Publication year - 2019
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/ijsrst196149
Subject(s) - parasitemia , white blood cell , stage (stratigraphy) , platelet , malaria , complete blood count , medicine , red blood cell , andrology , immunology , biology , plasmodium falciparum , paleontology
Blood cells are composed of erythrocytes (red blood cells, RBCs), leukocytes (white blood cells, WBCs) and thrombocytes (platelets). Both WBC and RBC have fixed count in our body. If their count is less than the ideal count then it is an indication that our body is not healthy. Hence blood count helps in detecting many diseases in early stage. According to World Health Organization about 3.2 billion people are at risk of malaria[2]. But, malaria is preventable and curable, if the patient is correctly diagnosed in early stage. The proposed approach to diagnose malaria mainly consists of following steps: Preprocessing, Histogram and Segmentation Inclusion-Tree representation Splitting of clumped erythrocytes Counting and labeling Cell stage identification Feature extraction and classification The algorithm is used to count malaria infected RBC in blood smear. A clump splitting method is used for precise RBC counting. Cell stage identification is performed in this approach by calculating Equivalent Circular Diameter. Quantification method improves overall performance in the determination of stages of infection such as ring, trophozoite and Schizont. Percentage of Parasitemia is calculate.