An empirical framework for automatic red blood cell morphology identification and counting
In blood tests analysis identification of Red Blood Cell (RBC) morphology and count the RBC number is crucial to diagnose any symptoms of blood related disease. In current practice, such procedure is executed manually by a pathologist under light microscope. As the samples increased, manual inspecti...
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| Pengarang-pengarang Utama: | , , |
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| Format: | Conference or Workshop Item |
| Diterbitkan: |
2015
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| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.uthm.edu.my/7203/ http://eprints.uthm.edu.my/7203/1/IC3E_2015_submission_140.pdf |
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| Ringkasan: | In blood tests analysis identification of Red Blood Cell (RBC) morphology and count the RBC number is crucial to diagnose
any symptoms of blood related disease. In current practice, such procedure is executed manually by a pathologist under light
microscope. As the samples increased, manual inspection become laborious to the pathologist and since visual inspection is
subjective, it might lead to variation to the assessed samples. To overcome such a problem, an automatic method is proposed
by utilizing image processing procedure. Initially RBC regions are extracted from the background by using a global threshold
method applied on a green channel color image. Next, noise and holes in the RBCs are abolished by utilizing a morphological
filter and connected component labeling. Following that, geometrical information of the RBCs’ area is extracted to determine
single and overlapping RBC region. The former region is further process to identify its morphology either normal or abnormal
by using geometrical properties and Artificial Neural Network (ANN), while the latter will undergo cell estimation stage by
using Circle Hough Transform (CHT) to estimate the number of individual cells. The proposed method has been tested on
blood cell images and demonstrates a reliable and effective system for classifying normal/abnormal RBC and counting the
RBC number by considering an overlapping constraint. |
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