Geometrical characterization of dipterans' wings towards automatic mosquito identification

Diego R. Benalcazar; Diego S. Benitez; Sonia Zapata; Denis Augot

doi:10.1109/ROPEC.2018.8661447

Geometrical characterization of dipterans' wings towards automatic mosquito identification

Diego R. Benalcazar
, Diego S. Benitez
, Sonia Zapata
, Denis Augot

Ingeniería Electrónica y Automatización

Universidad San Francisco de Quito
Colegio de Ciencias Biológicas y Ambientales COCIBA
Université de Reims Champagne-Ardenne

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

4 Scopus citations

Abstract

In this paper, we present an algorithm for the geometrical characterization of Diptera mosquitoes based on morphological characteristics and size relationships within their wings. The software has been written using NI LabVIEW and consists of two main stages. First, Images are manipulated for enhancing the pattern detection. Second, the detected patterns are then analyzed to obtain a set of eleven numeric parameters that describe the sample. The objective is to use this algorithm as the first step towards the development of an automatic classifier of Diptera Mosquitoes genres considering the relevance of this order for the human being.

Original language	English
Title of host publication	2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538659359
DOIs	https://doi.org/10.1109/ROPEC.2018.8661447
State	Published - 2 Jul 2018
Event	2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018 - Ixtapa, Guerrero, Mexico Duration: 14 Nov 2018 → 16 Nov 2018

Publication series

Name	2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018

Conference

Conference	2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018
Country/Territory	Mexico
City	Ixtapa, Guerrero
Period	14/11/18 → 16/11/18

Access to Document

10.1109/ROPEC.2018.8661447

Cite this

Benalcazar, D. R., Benitez, D. S., Zapata, S., & Augot, D. (2018). Geometrical characterization of dipterans' wings towards automatic mosquito identification. In 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018 Article 8661447 (2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROPEC.2018.8661447

Benalcazar, Diego R. ; Benitez, Diego S. ; Zapata, Sonia et al. / Geometrical characterization of dipterans' wings towards automatic mosquito identification. 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018).

@inproceedings{b362cc43e12f4a85b3a78e3143c48d83,

title = "Geometrical characterization of dipterans' wings towards automatic mosquito identification",

abstract = "In this paper, we present an algorithm for the geometrical characterization of Diptera mosquitoes based on morphological characteristics and size relationships within their wings. The software has been written using NI LabVIEW and consists of two main stages. First, Images are manipulated for enhancing the pattern detection. Second, the detected patterns are then analyzed to obtain a set of eleven numeric parameters that describe the sample. The objective is to use this algorithm as the first step towards the development of an automatic classifier of Diptera Mosquitoes genres considering the relevance of this order for the human being.",

author = "Benalcazar, \{Diego R.\} and Benitez, \{Diego S.\} and Sonia Zapata and Denis Augot",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018 ; Conference date: 14-11-2018 Through 16-11-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/ROPEC.2018.8661447",

language = "Ingl{\'e}s",

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booktitle = "2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018",

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Benalcazar, DR, Benitez, DS , Zapata, S & Augot, D 2018, Geometrical characterization of dipterans' wings towards automatic mosquito identification. in 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018., 8661447, 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018, Ixtapa, Guerrero, Mexico, 14/11/18. https://doi.org/10.1109/ROPEC.2018.8661447

Geometrical characterization of dipterans' wings towards automatic mosquito identification. / Benalcazar, Diego R.; Benitez, Diego S.; Zapata, Sonia et al.
2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8661447 (2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018).

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

TY - GEN

T1 - Geometrical characterization of dipterans' wings towards automatic mosquito identification

AU - Benalcazar, Diego R.

AU - Benitez, Diego S.

AU - Zapata, Sonia

AU - Augot, Denis

PY - 2018/7/2

Y1 - 2018/7/2

N2 - In this paper, we present an algorithm for the geometrical characterization of Diptera mosquitoes based on morphological characteristics and size relationships within their wings. The software has been written using NI LabVIEW and consists of two main stages. First, Images are manipulated for enhancing the pattern detection. Second, the detected patterns are then analyzed to obtain a set of eleven numeric parameters that describe the sample. The objective is to use this algorithm as the first step towards the development of an automatic classifier of Diptera Mosquitoes genres considering the relevance of this order for the human being.

AB - In this paper, we present an algorithm for the geometrical characterization of Diptera mosquitoes based on morphological characteristics and size relationships within their wings. The software has been written using NI LabVIEW and consists of two main stages. First, Images are manipulated for enhancing the pattern detection. Second, the detected patterns are then analyzed to obtain a set of eleven numeric parameters that describe the sample. The objective is to use this algorithm as the first step towards the development of an automatic classifier of Diptera Mosquitoes genres considering the relevance of this order for the human being.

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U2 - 10.1109/ROPEC.2018.8661447

DO - 10.1109/ROPEC.2018.8661447

M3 - Contribución a la conferencia

AN - SCOPUS:85063866380

T3 - 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018

BT - 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018

Y2 - 14 November 2018 through 16 November 2018

ER -

Benalcazar DR, Benitez DS , Zapata S, Augot D. Geometrical characterization of dipterans' wings towards automatic mosquito identification. In 2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8661447. (2018 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2018). doi: 10.1109/ROPEC.2018.8661447

Geometrical characterization of dipterans' wings towards automatic mosquito identification

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