Staff View: Red blood cell segmentation using masking and watershed algorithm: a preliminary study

Red blood cell segmentation using masking and watershed algorithm: a preliminary study

Image segmentation is the most important step and a key technology in image processing which directly affect the next processing. In human blood cell segmentation cases, many methods were applied for obtaining better results. It is basically an improved visualization to observe blood cell under bloo...

Full description

Saved in:

Bibliographic Details
Main Authors:	Mohamad Sharif, Johan, Miswan, M. F., Ngadi, Md. Asri, Salam, Md. Sah, Abdul Jamil, M. Mahadi
Format:	Book Section
Published:	IEEE 2012
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/id/eprint/35814/ http://dx.doi.org/10.1109/ICoBE.2012.6179016
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.utm.35814
record_format	eprints
spelling	my.utm.358142017-02-02T05:53:20Z http://eprints.utm.my/id/eprint/35814/ Red blood cell segmentation using masking and watershed algorithm: a preliminary study Mohamad Sharif, Johan Miswan, M. F. Ngadi, Md. Asri Salam, Md. Sah Abdul Jamil, M. Mahadi QA75 Electronic computers. Computer science Image segmentation is the most important step and a key technology in image processing which directly affect the next processing. In human blood cell segmentation cases, many methods were applied for obtaining better results. It is basically an improved visualization to observe blood cell under blood smear process. This paper will present an approach for red blood cell (RBC) segmentation which is a part of study to perform automated counting for RBC. The methods involve are Ycbcr color conversion, masking, morphological operators and watershed algorithm. The combination of Ycbcr color conversion and morphological operator produce segmented white blood cell (WBC) nucleus. Then it is being used as a mask to remove WBC from the blood cell image. Morphological operators involve binary erosion diminish small object like platelet. The resulted RBC segmentation is passing through marker controlled watershed algorithm which handles overlapping cells. The improvement need to be done for both segmentation and overlapped cell handling to obtain better result in the future. IEEE 2012 Book Section PeerReviewed Mohamad Sharif, Johan and Miswan, M. F. and Ngadi, Md. Asri and Salam, Md. Sah and Abdul Jamil, M. Mahadi (2012) Red blood cell segmentation using masking and watershed algorithm: a preliminary study. In: 2012 International Conference on Biomedical Engineering, ICoBE 2012. IEEE, New York, USA, pp. 258-262. ISBN 978-145771989-9 http://dx.doi.org/10.1109/ICoBE.2012.6179016 DOI:10.1109/ICoBE.2012.6179016
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	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Mohamad Sharif, Johan Miswan, M. F. Ngadi, Md. Asri Salam, Md. Sah Abdul Jamil, M. Mahadi Red blood cell segmentation using masking and watershed algorithm: a preliminary study
description	Image segmentation is the most important step and a key technology in image processing which directly affect the next processing. In human blood cell segmentation cases, many methods were applied for obtaining better results. It is basically an improved visualization to observe blood cell under blood smear process. This paper will present an approach for red blood cell (RBC) segmentation which is a part of study to perform automated counting for RBC. The methods involve are Ycbcr color conversion, masking, morphological operators and watershed algorithm. The combination of Ycbcr color conversion and morphological operator produce segmented white blood cell (WBC) nucleus. Then it is being used as a mask to remove WBC from the blood cell image. Morphological operators involve binary erosion diminish small object like platelet. The resulted RBC segmentation is passing through marker controlled watershed algorithm which handles overlapping cells. The improvement need to be done for both segmentation and overlapped cell handling to obtain better result in the future.
format	Book Section
author	Mohamad Sharif, Johan Miswan, M. F. Ngadi, Md. Asri Salam, Md. Sah Abdul Jamil, M. Mahadi
author_facet	Mohamad Sharif, Johan Miswan, M. F. Ngadi, Md. Asri Salam, Md. Sah Abdul Jamil, M. Mahadi
author_sort	Mohamad Sharif, Johan
title	Red blood cell segmentation using masking and watershed algorithm: a preliminary study
title_short	Red blood cell segmentation using masking and watershed algorithm: a preliminary study
title_full	Red blood cell segmentation using masking and watershed algorithm: a preliminary study
title_fullStr	Red blood cell segmentation using masking and watershed algorithm: a preliminary study
title_full_unstemmed	Red blood cell segmentation using masking and watershed algorithm: a preliminary study
title_sort	red blood cell segmentation using masking and watershed algorithm: a preliminary study
publisher	IEEE
publishDate	2012
url	http://eprints.utm.my/id/eprint/35814/ http://dx.doi.org/10.1109/ICoBE.2012.6179016
_version_	1643649848397791232
score	13.211869

Red blood cell segmentation using masking and watershed algorithm: a preliminary study

Similar Items