Sumi, Amin Siddiq and Nugroho, Hanung Adi and Hartanto, Rudy (2021) Global Threshold Using Otsu and Active Contour for Detection of Malaria Parasites in Thick Blood Smear. In: International Conference on Bioinformatics, Biotechnology, and Biomedical Engineering, BioMIC 2021.
bioconf_biomic2021_04002.pdf
Restricted to Registered users only
Download (645kB) | Request a copy
Abstract
Malaria is a disease caused by the plasmodium parasite and has caused many fatalities. In general, identifying malaria parasite infection can be done by visually observing thick and thin blood smears through microscopic devices. Identification of parasites in thick blood preparations has a higher level of difficulty than thin blood preparations. In thick blood preparations, various objects such as artefacts and noise have a structure similar to the structure of parasitic objects. This paper aims to develop a parasite detection method based on image processing in thick blood smears, consisting of two main stages. First is to improve image quality by applying contrast value stretching, converting green channels, and refining each image. Second is to segment the plasmodium parasite using global threshold Otsu and active contour followed by several morphological operations. The proposed method produces a high sensitivity of 98.06 with an average negative false rate of 1.4. With the sensitivity level obtained, it can be interpreted that most of the parasitic objects have been detected correctly in one blood sample image. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Additional Information: | Cited by: 0; Conference name: 4th International Conference on Bioinformatics, Biotechnology, and Biomedical Engineering, BioMIC 2021; Conference date: 6 October 2021 through 7 October 2021; Conference code: 192780; All Open Access, Gold Open Access, Green Open Access |
Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering > Electronics Engineering Department |
Depositing User: | Sri JUNANDI |
Date Deposited: | 25 Oct 2024 03:56 |
Last Modified: | 25 Oct 2024 03:56 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/5581 |