Blood Smear Image Based Malaria Parasite and Infected-Erythrocyte Detection and Segmentation.
In this study, an automatic malaria parasite detector is proposed to perceive the malaria-infected erythrocytes in a blood smear image and to separate parasites from the infected erythrocytes. The detector hence can verify whether a patient is infected with malaria. It could more objectively and efficiently help a doctor in diagnosing malaria. The experimental results show that the proposed method can provide impressive performance in segmenting the malaria-infected erythrocytes and the parasites from a blood smear image taken under a microscope. This paper also presents a weighted Sobel operation to compute the image gradient. The experimental results demonstrates that the weighted Sobel operation can provide more clear-cut and thinner object contours in object segmentation.
Department of Management Information Systems, National Chung Hsing University, Taichung City, Taiwan, Republic of China, mht@nchu.edu.tw.
Meng-Hsiun
MH
Tsai
Shyr-Shen
SS
Yu
Yung-Kuan
YK
Chan
Chun-Chu
CC
Jen
D000465:Algorithms; D004912:Erythrocytes / Q000469:parasitology*; D006403:Hematologic Tests / Q000295:instrumentation*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D008288:Malaria / Q000175:diagnosis*; D008853:Microscopy; D010961:Plasmodium / Q000469:parasitology*