A Review on Methods of Identifying and Counting Aedes Aegypti Larvae using Image Segmentation Technique
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 foran 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 inidentifying 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.
Author: Mohamad Aqil Mohd Fuad
Journal Code: jptkomputergg170047
