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

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Main Authors: Johan, Mohamad Sharif, M. F., Miswan, Md Asri, Ngadi, Md Sah, Hj Salam, Muhammad Mahadi, Abdul Jamil
Other Authors: fath87razik@yahoo.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:
Segmentation
Blood cell counting
Analyzing method
Counting application
Blood cell disorder
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21351
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spelling my.unimap-213512012-10-15T00:58:01Z Red blood cell segmentation using masking and watershed algorithm: A preliminary study Johan, Mohamad Sharif M. F., Miswan Md Asri, Ngadi Md Sah, Hj Salam Muhammad Mahadi, Abdul Jamil fath87razik@yahoo.com johan@utm.my mahadi@uthm.edu.my Segmentation Blood cell counting Analyzing method Counting application Blood cell disorder Link to publisher's homepage at http://ieeexplore.ieee.org/ 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. 2012-10-15T00:58:01Z 2012-10-15T00:58:01Z 2012-02-27 Working Paper p. 258-262 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179016 http://hdl.handle.net/123456789/21351 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Segmentation
Blood cell counting
Analyzing method
Counting application
Blood cell disorder
spellingShingle Segmentation
Blood cell counting
Analyzing method
Counting application
Blood cell disorder
Johan, Mohamad Sharif
M. F., Miswan
Md Asri, Ngadi
Md Sah, Hj Salam
Muhammad Mahadi, Abdul Jamil
Red blood cell segmentation using masking and watershed algorithm: A preliminary study
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 fath87razik@yahoo.com
author_facet fath87razik@yahoo.com
Johan, Mohamad Sharif
M. F., Miswan
Md Asri, Ngadi
Md Sah, Hj Salam
Muhammad Mahadi, Abdul Jamil
format Working Paper
author Johan, Mohamad Sharif
M. F., Miswan
Md Asri, Ngadi
Md Sah, Hj Salam
Muhammad Mahadi, Abdul Jamil
author_sort Johan, Mohamad Sharif
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 Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21351
_version_ 1643793357313409024
score 13.222552

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