Automatic red blood cell counting based on particle area

In medical area, red blood cell (RBC) counting and analysis contributes important information in pathological diagnosis regarding disease such as anemia and low level of hemoglobin concentration. Normally the blood sample is processed in laboratory using hematology analyzer and blood smear is viewed...

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Main Author:	Musa, Rabiahtuladawiyah
Format:	Thesis
Language:	English English English
Published:	2015
Subjects:	TK7800-8360 Electronics
Online Access:	http://eprints.uthm.edu.my/1441/3/RABIAHTULADAWIAH%20MUSA%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1441/1/24p%20RABIAHTULADAWIAH%20MUSA.pdf http://eprints.uthm.edu.my/1441/2/RABIAHTULADAWIAH%20MUSA%20WATERMARK.pdf
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id	my-uthm-ep.1441
record_format	uketd_dc
spelling	my-uthm-ep.14412021-10-03T07:22:16Z Automatic red blood cell counting based on particle area 2015-06 Musa, Rabiahtuladawiyah TK7800-8360 Electronics In medical area, red blood cell (RBC) counting and analysis contributes important information in pathological diagnosis regarding disease such as anemia and low level of hemoglobin concentration. Normally the blood sample is processed in laboratory using hematology analyzer and blood smear is viewed under microscope. The analysis and counting process is conducted manually by pathologist. The task is very laborious, tedious, time-consuming and very dependent to the skill. This project applied image processing techniques to develop a computer-aided system for automated RBC counting. The RBC images will be pre-processed in early stage using morphological operations and thresholding to obtain the images with good quality. Then, the RBC images will be classified based on the particle area size into single and multi-overlap cells. For counting the total number of the RBC, mathematical numeric function is used. The accuracy of the result is determined by doing comparison with the ground truth data. The proposed method has been tested to the RBC images and performs a reliable system for counting RBC. 2015-06 Thesis http://eprints.uthm.edu.my/1441/ http://eprints.uthm.edu.my/1441/3/RABIAHTULADAWIAH%20MUSA%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/1441/1/24p%20RABIAHTULADAWIAH%20MUSA.pdf text en public http://eprints.uthm.edu.my/1441/2/RABIAHTULADAWIAH%20MUSA%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronics Engineering
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TK7800-8360 Electronics
spellingShingle	TK7800-8360 Electronics Musa, Rabiahtuladawiyah Automatic red blood cell counting based on particle area
description	In medical area, red blood cell (RBC) counting and analysis contributes important information in pathological diagnosis regarding disease such as anemia and low level of hemoglobin concentration. Normally the blood sample is processed in laboratory using hematology analyzer and blood smear is viewed under microscope. The analysis and counting process is conducted manually by pathologist. The task is very laborious, tedious, time-consuming and very dependent to the skill. This project applied image processing techniques to develop a computer-aided system for automated RBC counting. The RBC images will be pre-processed in early stage using morphological operations and thresholding to obtain the images with good quality. Then, the RBC images will be classified based on the particle area size into single and multi-overlap cells. For counting the total number of the RBC, mathematical numeric function is used. The accuracy of the result is determined by doing comparison with the ground truth data. The proposed method has been tested to the RBC images and performs a reliable system for counting RBC.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Musa, Rabiahtuladawiyah
author_facet	Musa, Rabiahtuladawiyah
author_sort	Musa, Rabiahtuladawiyah
title	Automatic red blood cell counting based on particle area
title_short	Automatic red blood cell counting based on particle area
title_full	Automatic red blood cell counting based on particle area
title_fullStr	Automatic red blood cell counting based on particle area
title_full_unstemmed	Automatic red blood cell counting based on particle area
title_sort	automatic red blood cell counting based on particle area
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Faculty of Electrical and Electronics Engineering
publishDate	2015
url	http://eprints.uthm.edu.my/1441/3/RABIAHTULADAWIAH%20MUSA%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1441/1/24p%20RABIAHTULADAWIAH%20MUSA.pdf http://eprints.uthm.edu.my/1441/2/RABIAHTULADAWIAH%20MUSA%20WATERMARK.pdf
_version_	1747830790302990336

Automatic red blood cell counting based on particle area

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