SEMI-AUTOMATIC TOOL TO COUNT MOSQUITO EGGS IN OVITRAP STICK IMAGES

Charles Beumier; Jorge Rubio; Veronica Andreo; Claudio Guzman; Ximena Porcasi; Carlos Marcelo Scavuzzo; Michal Shimoni

doi:10.1109/IGARSS47720.2021.9555005

SEMI-AUTOMATIC TOOL TO COUNT MOSQUITO EGGS IN OVITRAP STICK IMAGES

Charles Beumier, Jorge Rubio, Veronica Andreo, Claudio Guzman, Ximena Porcasi, Carlos Marcelo Scavuzzo, Michal Shimoni

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

Abstract

Oviposition measurement with ovitraps is one of the most widely used methods to monitor Aedes aegypti mosquito activity in the world. Egg counting is however very time consuming. This paper presents the semi-automatic counting of mosquito eggs laid on ovitrap sticks in images acquired by cellular phones. In Cordoba, Argentina, 150 ovitraps were distributed in the city to measure the evolution of the Aedes aegypti population, estimated indirectly by the number of laid eggs. An important increase in the counts is a potential indicator of an imminent outbreak, alerting the health services to warn the population and recall the good sanitary practices. Bringing image processing to this project is a way to relieve the technician from the tedious egg counting behind a magnifier and to reduce the count errors due to distraction or fatigue. We developed a fast semiautomatic counting solution with tools to focus on the useful image area, to show the confidence of automatic count numbers and to handle the collection of results.

Original language	English
Title of host publication	Proceedings of the 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Pages	80-83
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9555005
Publication status	Published - 2021
Event	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021

Conference

Conference	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/Territory	Belgium
City	Brussels
Period	12/07/21 → 16/07/21

Keywords

Aedes aegypti
GUI
computer vision
monitoring
semiautomatic egg counting

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10.1109/IGARSS47720.2021.9555005

Cite this

@inproceedings{539488487e934f4398207e2ab49059b7,

title = "SEMI-AUTOMATIC TOOL TO COUNT MOSQUITO EGGS IN OVITRAP STICK IMAGES",

abstract = "Oviposition measurement with ovitraps is one of the most widely used methods to monitor Aedes aegypti mosquito activity in the world. Egg counting is however very time consuming. This paper presents the semi-automatic counting of mosquito eggs laid on ovitrap sticks in images acquired by cellular phones. In Cordoba, Argentina, 150 ovitraps were distributed in the city to measure the evolution of the Aedes aegypti population, estimated indirectly by the number of laid eggs. An important increase in the counts is a potential indicator of an imminent outbreak, alerting the health services to warn the population and recall the good sanitary practices. Bringing image processing to this project is a way to relieve the technician from the tedious egg counting behind a magnifier and to reduce the count errors due to distraction or fatigue. We developed a fast semiautomatic counting solution with tools to focus on the useful image area, to show the confidence of automatic count numbers and to handle the collection of results.",

keywords = "Aedes aegypti, GUI, computer vision, monitoring, semiautomatic egg counting",

author = "Charles Beumier and Jorge Rubio and Veronica Andreo and Claudio Guzman and Ximena Porcasi and Scavuzzo, {Carlos Marcelo} and Michal Shimoni",

note = "Publisher Copyright: {\textcopyright}2021 IEEE.; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

year = "2021",

doi = "10.1109/IGARSS47720.2021.9555005",

language = "English",

pages = "80--83",

booktitle = "Proceedings of the 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021",

}

Beumier, C, Rubio, J, Andreo, V, Guzman, C, Porcasi, X, Scavuzzo, CM & Shimoni, M 2021, SEMI-AUTOMATIC TOOL TO COUNT MOSQUITO EGGS IN OVITRAP STICK IMAGES. in Proceedings of the 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021. pp. 80-83, 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, 12/07/21. https://doi.org/10.1109/IGARSS47720.2021.9555005

TY - GEN

T1 - SEMI-AUTOMATIC TOOL TO COUNT MOSQUITO EGGS IN OVITRAP STICK IMAGES

AU - Beumier, Charles

AU - Rubio, Jorge

AU - Andreo, Veronica

AU - Guzman, Claudio

AU - Porcasi, Ximena

AU - Scavuzzo, Carlos Marcelo

AU - Shimoni, Michal

PY - 2021

Y1 - 2021

N2 - Oviposition measurement with ovitraps is one of the most widely used methods to monitor Aedes aegypti mosquito activity in the world. Egg counting is however very time consuming. This paper presents the semi-automatic counting of mosquito eggs laid on ovitrap sticks in images acquired by cellular phones. In Cordoba, Argentina, 150 ovitraps were distributed in the city to measure the evolution of the Aedes aegypti population, estimated indirectly by the number of laid eggs. An important increase in the counts is a potential indicator of an imminent outbreak, alerting the health services to warn the population and recall the good sanitary practices. Bringing image processing to this project is a way to relieve the technician from the tedious egg counting behind a magnifier and to reduce the count errors due to distraction or fatigue. We developed a fast semiautomatic counting solution with tools to focus on the useful image area, to show the confidence of automatic count numbers and to handle the collection of results.

AB - Oviposition measurement with ovitraps is one of the most widely used methods to monitor Aedes aegypti mosquito activity in the world. Egg counting is however very time consuming. This paper presents the semi-automatic counting of mosquito eggs laid on ovitrap sticks in images acquired by cellular phones. In Cordoba, Argentina, 150 ovitraps were distributed in the city to measure the evolution of the Aedes aegypti population, estimated indirectly by the number of laid eggs. An important increase in the counts is a potential indicator of an imminent outbreak, alerting the health services to warn the population and recall the good sanitary practices. Bringing image processing to this project is a way to relieve the technician from the tedious egg counting behind a magnifier and to reduce the count errors due to distraction or fatigue. We developed a fast semiautomatic counting solution with tools to focus on the useful image area, to show the confidence of automatic count numbers and to handle the collection of results.

KW - Aedes aegypti

KW - GUI

KW - computer vision

KW - monitoring

KW - semiautomatic egg counting

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U2 - 10.1109/IGARSS47720.2021.9555005

DO - 10.1109/IGARSS47720.2021.9555005

M3 - Conference contribution

AN - SCOPUS:85129839783

SP - 80

EP - 83

BT - Proceedings of the 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

Y2 - 12 July 2021 through 16 July 2021

ER -

SEMI-AUTOMATIC TOOL TO COUNT MOSQUITO EGGS IN OVITRAP STICK IMAGES

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Keywords

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