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Journal of Medical Systems
Published in: Journal of Medical Systems 10/2015

01-10-2015 | Transactional Processing Systems

Blood Smear Image Based Malaria Parasite and Infected-Erythrocyte Detection and Segmentation

Authors: Meng-Hsiun Tsai, Shyr-Shen Yu, Yung-Kuan Chan, Chun-Chu Jen

Published in: Journal of Medical Systems | Issue 10/2015

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Abstract

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.
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Metadata
Title
Blood Smear Image Based Malaria Parasite and Infected-Erythrocyte Detection and Segmentation
Authors
Meng-Hsiun Tsai
Shyr-Shen Yu
Yung-Kuan Chan
Chun-Chu Jen
Publication date
01-10-2015
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 10/2015
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-015-0280-9

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