Automated malaria cell counter using Hough transform based method

Mohammed Harris; Bonhwa Ku; Chae Seung Lim; Hanseok Ko

doi:10.1109/ICCE.2017.7889372

Automated malaria cell counter using Hough transform based method

Mohammed Harris, Bonhwa Ku, Chae Seung Lim, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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
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	https://doi.org/10.1109/ICCE.2017.7889372
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
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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICCE.2017.7889372

Cite this

Harris, M, Ku, B, Lim, CS & Ko, H 2017, Automated malaria cell counter using Hough transform based method. in 2017 IEEE International Conference on Consumer Electronics, ICCE 2017., 7889372, Institute of Electrical and Electronics Engineers Inc., pp. 404-405, 2017 IEEE International Conference on Consumer Electronics, ICCE 2017, Las Vegas, United States, 17/1/8. https://doi.org/10.1109/ICCE.2017.7889372

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author = "Mohammed Harris and Bonhwa Ku and Lim, {Chae Seung} and Hanseok Ko",

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doi = "10.1109/ICCE.2017.7889372",

language = "English",

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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BT - 2017 IEEE International Conference on Consumer Electronics, ICCE 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Conference on Consumer Electronics, ICCE 2017

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ER -

Automated malaria cell counter using Hough transform based method

Abstract

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ASJC Scopus subject areas

UN SDGs

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