EKSTRAKSI CITRA SEL DARAH PUTIH DARI SAMPEL CITRA SEL DARAH
The amount and composition of white blood cells in a blood sample are important information in diagnosis about the patients health status. Doctors require two types of blood count for diagnosis, that is Complete Blood Count (CBC) and Differential Blood Count (DBC). CBC can be done by automatic instr...
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| Main Authors: | , |
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| 格式: | Theses and Dissertations NonPeerReviewed |
| 出版: |
[Yogyakarta] : Universitas Gadjah Mada
2013
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| 主題: | |
| 在線閱讀: | https://repository.ugm.ac.id/125076/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=65241 |
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| 總結: | The amount and composition of white blood cells in a blood sample are
important information in diagnosis about the patients health status. Doctors
require two types of blood count for diagnosis, that is Complete Blood Count
(CBC) and Differential Blood Count (DBC). CBC can be done by automatic
instruments called by cytometer. On the other hand, DBC uses manual procedure
by hematology experts (hematologist).
The automatic DBC software planning can be done by using image
processing technique which include segmentation, image extraction, and
classification. In this research, the automatic DBC software planning is limited on
segmentation and images extraction steps. The segmentation used thresholding
method at Hueness, Saturation and Value channel of image (HSV thresholding).
Then, the next step is labelling process in order to give labels at each white value
in binary image after thresholding. After that, image clustering between plasma
and nucleus images is done in order to get plasma position in coordinates. The
final step is cropping operation based on plasma image coordinate in the blood
cell input image.
The software planning step used 20 blood cell image samples. Those steps,
optimal threshold value for plasma image are: H=0-130 |
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