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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/3640/ http://umpir.ump.edu.my/id/eprint/3640/1/11-ICoCSIM.pdf |
| _version_ | 1848817269177581568 |
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| 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 | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T01:19:05Z |
| format | Conference or Workshop Item |
| id | ump-3640 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:19:05Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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.. (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/ http://umpir.ump.edu.my/id/eprint/3640/1/11-ICoCSIM.pdf |