Perfecting a Video Game with Game Metrics
Vol 15, No 3: September 2017

A Review on Methods of Identifying and Counting Aedes Aegypti Larvae using Image Segmentation Technique

Mohamad Aqil Mohd Fuad (Universiti Teknikal Malaysia Melaka)
Mohd Ruddin Ab Ghani (Universiti Teknikal Malaysia Melaka)
Rozaimi Ghazali (Universiti Teknikal Malaysia Melaka)
Mohamad Fani Sulaima (Universiti Teknikal Malaysia Melaka)
Mohd Hafiz Jali (Universiti Teknikal Malaysia Melaka)
Tole Sutikno (Universitas Ahmad Dahlan)
Tarmizi Ahmad Izzuddin (Universiti Teknikal Malaysia Melaka)
Zanariah Jano (Universiti Teknikal Malaysia Melaka)



Article Info

Publish Date
01 Sep 2017

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.

Copyrights © 2017






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...