Abstract
Malaria is still a threat and serious disease especially in the low income countries. Instead of the slow manual counting, an automated method of counting malaria cell should provide rapid diagnostic information to physician with online convenience. This paper proposes a circular Hough transform to detect and count the malaria cells among normal blood cells via using adaptive histogram equalization. The proposed method attains accurate and satisfying results in counting even the overlapped cells. Experimental evaluations show 96.04% average accuracy achieved for detecting malaria cells and 94.5% average accuracy for counting its ratio from the whole cells.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Consumer Electronics, ICCE 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 404-405 |
Number of pages | 2 |
ISBN (Electronic) | 9781509055449 |
DOIs | |
Publication status | Published - 2017 Mar 29 |
Event | 2017 IEEE International Conference on Consumer Electronics, ICCE 2017 - Las Vegas, United States Duration: 2017 Jan 8 → 2017 Jan 10 |
Other
Other | 2017 IEEE International Conference on Consumer Electronics, ICCE 2017 |
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Country/Territory | United States |
City | Las Vegas |
Period | 17/1/8 → 17/1/10 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Instrumentation