A Review On Methods Of Identifying And Counting Aedes Aegypti Larvae Using Image Segmentation Technique

Mohd Fuad, Mohamad Aqil and Ab Ghani, Mohd Ruddin and Ghazali, Rozaimi and Sulaima, Mohamad Fani and Jali, Mohd Hafiz and Sutikno, Tole and Ahmad Izzuddin, Tarmizi and Jano, Zanariah (2017) A Review On Methods Of Identifying And Counting Aedes Aegypti Larvae Using Image Segmentation Technique. TELKOMNIKA (Telecommunication Computing Electronics And Control), 15 (3). pp. 1199-1206. ISSN 1693-6930

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Abstract

Aedes aegypti mosquitoes are a small slender fly insect that spreads the arbovirus from flavivirus vector through its sucking blood. An early detection of this species is very important because once these species turn into adult mosquitoes a population control becomes more complicated. Things become worse when difficult access places like water storage tank becomes one of the breeding favorite places for Aedes aegypti mosquitoes. Therefore, there is a need to help the field operator during the routine inspection for an automated identification and detection of Aedes aegypti larvae, especially at difficult access places. This paper reviews different methodologies that have been used by various researchers in identifying and counting Aedes aegypti. The objective of the review was to analyze the techniques and methods in identifying and counting the Aedes Aegypti larvae of various fields of study from 2008 and above by taking account their performance and accuracy. From the review, thresholding method was the most widely used with high accuracy in image segmentation followed by hidden Markov model, histogram correction and morphology operation region growing.

Item Type:	Article
Uncontrolled Keywords:	Aedes Aegypti larvae, Water Storage Tank, Image pre-processing, Image processing
Subjects:	T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering
Depositing User:	Mohd Hannif Jamaludin
Date Deposited:	29 Mar 2022 11:05
Last Modified:	29 Mar 2022 11:05
URI:	http://eprints.utem.edu.my/id/eprint/20971
Statistic Details:	View Download Statistic

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