Publication: Red blood cells and white blood cells detection by image processing
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Issued Date
2020-07-02
Resource Type
ISSN
17426596
17426588
17426588
Other identifier(s)
2-s2.0-85087838910
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Mahidol University
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SCOPUS
Bibliographic Citation
Journal of Physics: Conference Series. Vol.1539, No.1 (2020)
Suggested Citation
Irwan Rahadi, Meechoke Choodoung, Arunsri Choodoung Red blood cells and white blood cells detection by image processing. Journal of Physics: Conference Series. Vol.1539, No.1 (2020). doi:10.1088/1742-6596/1539/1/012025 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/58367
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Title
Red blood cells and white blood cells detection by image processing
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Abstract
© 2020 IOP Publishing Ltd. All rights reserved. The common method of red and white blood cells identification and counting consider the manual processes on microscope which is arranged by the laboratory's technician with their own experience. In this research, we will develop a computer program to detect and identify the proposed objects based on their pattern. The proposed objects are Red Blood Cells (RBCs), and White Blood Cells (WBCs). For blood cells identification and classification, an idea of Viola and Jones will be followed. Adaboost (adaptive boosting) method will be applied to increase the accuracy of the error of learning algorithm. The output of the proposed program shows that all the types of cells mentioned can be detected and classify effectively by showing the number and time spent of cells detected.