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..
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Abstract
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.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Additional Information: | Proceedings of the First International Conference on Computational Science and Information Management (ICoCSIM2012) ISBN 978-967-0120-60-7 Vol. 1 |
| Uncontrolled Keywords: | Helminth egg; Intestinal parasite detection; Ascaris Lumbricoides; Microscopic images; Digital image processing |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computer System And Software Engineering Faculty of Electrical & Electronic Engineering Unspecified |
| Depositing User: | NOR NADIA SHAHIDA ZAKRIA |
| Date Deposited: | 15 Jul 2013 07:03 |
| Last Modified: | 21 Feb 2018 06:35 |
| URI: | http://umpir.ump.edu.my/id/eprint/3640 |
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