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...

Full description

Saved in:
Bibliographic Details
Main Authors: S.M., Sulong, Kamarul Hawari, Ghazali, Jasni, Mohamad Zain, Z., Mohamed
Format: Conference or Workshop Item
Language:en
Published: 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/3640/1/11-ICoCSIM.pdf
http://umpir.ump.edu.my/id/eprint/3640/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1831521431776657408
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
building UMPSA Library
collection Institutional Repository
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
continent Asia
country Malaysia
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
id my.ump.umpir.3640
institution Universiti Malaysia Pahang
language en
publishDate 2012
record_format eprints
spelling my.ump.umpir.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.. (Published)
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
title 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_short Ascaris Lumbricoides Egg Detection from Digital Microscopic Fecal Sample Images
title_sort ascaris lumbricoides egg detection from digital microscopic fecal sample images
topic QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/3640/1/11-ICoCSIM.pdf
http://umpir.ump.edu.my/id/eprint/3640/
url_provider http://umpir.ump.edu.my/