Red blood cells estimation using Hough transform technique

The number of red blood cells contributes more to clinical diagnosis with respect to blood diseases. The aim of this research is to produce a computer vision system that can detect and estimate the number of red blood cells in the blood sample image. Morphological is a very powerful tool in image pr...

Full description

Saved in:

Bibliographic Details
Main Authors:	Mahmood, Nasrul Humaimi, Mansor, Muhammad Asraf
Format:	Article
Published:	AIRCC Publishing 2012
Subjects:	QH301 Biology
Online Access:	http://eprints.utm.my/id/eprint/31133/ http://www.aircconline.com/sipij/V3N2/3212sipij04.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universiti Teknologi Malaysia

id	my.utm.31133
record_format	eprints
spelling	my.utm.311332018-10-31T12:33:05Z http://eprints.utm.my/id/eprint/31133/ Red blood cells estimation using Hough transform technique Mahmood, Nasrul Humaimi Mansor, Muhammad Asraf QH301 Biology The number of red blood cells contributes more to clinical diagnosis with respect to blood diseases. The aim of this research is to produce a computer vision system that can detect and estimate the number of red blood cells in the blood sample image. Morphological is a very powerful tool in image processing, and it is been used to segment and extract the red blood cells from the background and other cells. The algorithm used features such as shape of red blood cells for counting process, and Hough transform is introduced in this process. The result presented here is based on images with normal blood cells. The tested data consists of 10 samples and produced the accurate estimation rate closest to 96% from manual counting. AIRCC Publishing 2012-04 Article PeerReviewed Mahmood, Nasrul Humaimi and Mansor, Muhammad Asraf (2012) Red blood cells estimation using Hough transform technique. Signal & Image Processing:An International Journal (SIPIJ), 3 (2). pp. 53-64. ISSN 0976-710X http://www.aircconline.com/sipij/V3N2/3212sipij04.pdf DOI:10.5121/sipij.2012.3204
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	QH301 Biology
spellingShingle	QH301 Biology Mahmood, Nasrul Humaimi Mansor, Muhammad Asraf Red blood cells estimation using Hough transform technique
description	The number of red blood cells contributes more to clinical diagnosis with respect to blood diseases. The aim of this research is to produce a computer vision system that can detect and estimate the number of red blood cells in the blood sample image. Morphological is a very powerful tool in image processing, and it is been used to segment and extract the red blood cells from the background and other cells. The algorithm used features such as shape of red blood cells for counting process, and Hough transform is introduced in this process. The result presented here is based on images with normal blood cells. The tested data consists of 10 samples and produced the accurate estimation rate closest to 96% from manual counting.
format	Article
author	Mahmood, Nasrul Humaimi Mansor, Muhammad Asraf
author_facet	Mahmood, Nasrul Humaimi Mansor, Muhammad Asraf
author_sort	Mahmood, Nasrul Humaimi
title	Red blood cells estimation using Hough transform technique
title_short	Red blood cells estimation using Hough transform technique
title_full	Red blood cells estimation using Hough transform technique
title_fullStr	Red blood cells estimation using Hough transform technique
title_full_unstemmed	Red blood cells estimation using Hough transform technique
title_sort	red blood cells estimation using hough transform technique
publisher	AIRCC Publishing
publishDate	2012
url	http://eprints.utm.my/id/eprint/31133/ http://www.aircconline.com/sipij/V3N2/3212sipij04.pdf
_version_	1643648673356185600

Red blood cells estimation using Hough transform technique

Similar Items