Ascaris Lumbricoides Egg Detection from Digital Microscopic Fecal Sample Images

Diseases caused by intestinal parasite are alarming especially caused by AscarisLumbricoides. An efficient technique to detect existence of parasite automatically in fecal sample is vital. Therefore, this research is focus on detecting AscarisLumbricoides in fecal sample images by using digital imag...

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Main Authors:	S.M., Sulong, Kamarul Hawari, Ghazali, Jasni, Mohamad Zain, Z., Mohamed
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/3640/ http://umpir.ump.edu.my/id/eprint/3640/1/11-ICoCSIM.pdf

id	ump-3640
recordtype	eprints
spelling	ump-36402018-02-21T06:35:41Z http://umpir.ump.edu.my/id/eprint/3640/ Ascaris Lumbricoides Egg Detection from Digital Microscopic Fecal Sample Images S.M., Sulong Kamarul Hawari, Ghazali Jasni, Mohamad Zain Z., Mohamed QA75 Electronic computers. Computer science Diseases caused by intestinal parasite are alarming especially caused by AscarisLumbricoides. An efficient technique to detect existence of parasite automatically in fecal sample is vital. Therefore, this research is focus on detecting AscarisLumbricoides in fecal sample images by using digital image processing technique. There are four novel steps proposed in the detection process which are boundary detection, midpoint determination, radius distance calculation and parasite detection. The results generated are 100% precision and recall of 73%. This proves that this technique is a success. 2012-12-03 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3640/1/11-ICoCSIM.pdf S.M., Sulong and Kamarul Hawari, Ghazali and Jasni, Mohamad Zain and Z., Mohamed (2012) Ascaris Lumbricoides Egg Detection from Digital Microscopic Fecal Sample Images. In: International Conference on Computational Science and Information Management (ICoCSIM), 3-5 December 2012 , Toba Lake, North Sumatera, Indonesia. pp. 59-62..
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science S.M., Sulong Kamarul Hawari, Ghazali Jasni, Mohamad Zain Z., Mohamed Ascaris Lumbricoides Egg Detection from Digital Microscopic Fecal Sample Images
description	Diseases caused by intestinal parasite are alarming especially caused by AscarisLumbricoides. An efficient technique to detect existence of parasite automatically in fecal sample is vital. Therefore, this research is focus on detecting AscarisLumbricoides in fecal sample images by using digital image processing technique. There are four novel steps proposed in the detection process which are boundary detection, midpoint determination, radius distance calculation and parasite detection. The results generated are 100% precision and recall of 73%. This proves that this technique is a success.
format	Conference or Workshop Item
author	S.M., Sulong Kamarul Hawari, Ghazali Jasni, Mohamad Zain Z., Mohamed
author_facet	S.M., Sulong Kamarul Hawari, Ghazali Jasni, Mohamad Zain Z., Mohamed
author_sort	S.M., Sulong
title	Ascaris Lumbricoides Egg Detection from Digital Microscopic Fecal Sample Images
title_short	Ascaris Lumbricoides Egg Detection from Digital Microscopic Fecal Sample Images
title_full	Ascaris Lumbricoides Egg Detection from Digital Microscopic Fecal Sample Images
title_fullStr	Ascaris Lumbricoides Egg Detection from Digital Microscopic Fecal Sample Images
title_full_unstemmed	Ascaris Lumbricoides Egg Detection from Digital Microscopic Fecal Sample Images
title_sort	ascaris lumbricoides egg detection from digital microscopic fecal sample images
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/3640/ http://umpir.ump.edu.my/id/eprint/3640/1/11-ICoCSIM.pdf
first_indexed	2023-09-18T21:58:02Z
last_indexed	2023-09-18T21:58:02Z
_version_	1777414211297607680

Ascaris Lumbricoides Egg Detection from Digital Microscopic Fecal Sample Images

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