Method for the automatic segmentation of the palpebral conjunctiva using image processing

Gerson Delgado-Rivera; Avid Roman-Gonzalez; Alicia Alva-Mantari; Bryan Saldivar-Espinoza; Mirko Zimic; Franklin Barrientos-Porras; Mario Salguedo-Bohorquez

doi:10.1109/ICA-ACCA.2018.8609744

Method for the automatic segmentation of the palpebral conjunctiva using image processing

Gerson Delgado-Rivera
, Avid Roman-Gonzalez
, Alicia Alva-Mantari
, Bryan Saldivar-Espinoza
, Mirko Zimic
, Franklin Barrientos-Porras
, Mario Salguedo-Bohorquez

School of Science and Engineering

Universidad de Cienciasy Humanidade
Universidad Peruana Cayetano Heredia

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

17 Scopus citations

Abstract

Conventional methods to diagnose anemia require a blood draw. This generates a great problem in patients due to the fear of contracting a disease through syringes, or sensitivity to this element. The palpebral conjunctiva is an indicator of diseases such as the hordeolum, chalazion, marginal blepharitis, bacterial conjunctivitis, trachoma, and anemia. The palpebral conjunctiva pallor is an indicator of anemia and if we wanted to develop an automatic system, for the non-invasive diagnosis of anemia based on the analysis of photographs of the palpebral conjunctiva, we would need algorithms for the segmentation and analysis of this membrane. In this sense, this research proposes and develops a method for the automatic segmentation of the palpebral conjunctiva using an Android application and image processing techniques. As a result, the success of this segmentation method is 92.2%.

Original language	English
Title of host publication	IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control
Subtitle of host publication	Towards an Industry 4.0 - Proceedings
Editors	Cristian Duran-Faundez, Gaston Lefranc, Mario Fernandez-Fernandez, Carlos Munoz, Ernesto Rubio
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538655863
DOIs	https://doi.org/10.1109/ICA-ACCA.2018.8609744
State	Published - 2 Jul 2018
Event	IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018 - Greater Concepcion, Chile Duration: 17 Oct 2018 → 19 Oct 2018

Publication series

Name	IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings

Conference

Conference	IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018
Country/Territory	Chile
City	Greater Concepcion
Period	17/10/18 → 19/10/18

Keywords

Android application
Anemia
Image processing
Palpebral conjunctiva
Segmentation method

Access to Document

10.1109/ICA-ACCA.2018.8609744

Cite this

Delgado-Rivera, G., Roman-Gonzalez, A., Alva-Mantari, A., Saldivar-Espinoza, B., Zimic, M., Barrientos-Porras, F., & Salguedo-Bohorquez, M. (2018). Method for the automatic segmentation of the palpebral conjunctiva using image processing. In C. Duran-Faundez, G. Lefranc, M. Fernandez-Fernandez, C. Munoz, & E. Rubio (Eds.), IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings Article 8609744 (IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICA-ACCA.2018.8609744

Delgado-Rivera, Gerson ; Roman-Gonzalez, Avid ; Alva-Mantari, Alicia et al. / Method for the automatic segmentation of the palpebral conjunctiva using image processing. IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings. editor / Cristian Duran-Faundez ; Gaston Lefranc ; Mario Fernandez-Fernandez ; Carlos Munoz ; Ernesto Rubio. Institute of Electrical and Electronics Engineers Inc., 2018. (IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings).

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title = "Method for the automatic segmentation of the palpebral conjunctiva using image processing",

abstract = "Conventional methods to diagnose anemia require a blood draw. This generates a great problem in patients due to the fear of contracting a disease through syringes, or sensitivity to this element. The palpebral conjunctiva is an indicator of diseases such as the hordeolum, chalazion, marginal blepharitis, bacterial conjunctivitis, trachoma, and anemia. The palpebral conjunctiva pallor is an indicator of anemia and if we wanted to develop an automatic system, for the non-invasive diagnosis of anemia based on the analysis of photographs of the palpebral conjunctiva, we would need algorithms for the segmentation and analysis of this membrane. In this sense, this research proposes and develops a method for the automatic segmentation of the palpebral conjunctiva using an Android application and image processing techniques. As a result, the success of this segmentation method is 92.2\%.",

keywords = "Android application, Anemia, Image processing, Palpebral conjunctiva, Segmentation method",

author = "Gerson Delgado-Rivera and Avid Roman-Gonzalez and Alicia Alva-Mantari and Bryan Saldivar-Espinoza and Mirko Zimic and Franklin Barrientos-Porras and Mario Salguedo-Bohorquez",

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Delgado-Rivera, G, Roman-Gonzalez, A, Alva-Mantari, A, Saldivar-Espinoza, B, Zimic, M, Barrientos-Porras, F & Salguedo-Bohorquez, M 2018, Method for the automatic segmentation of the palpebral conjunctiva using image processing. in C Duran-Faundez, G Lefranc, M Fernandez-Fernandez, C Munoz & E Rubio (eds), IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings., 8609744, IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings, Institute of Electrical and Electronics Engineers Inc., IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018, Greater Concepcion, Chile, 17/10/18. https://doi.org/10.1109/ICA-ACCA.2018.8609744

Method for the automatic segmentation of the palpebral conjunctiva using image processing. / Delgado-Rivera, Gerson; Roman-Gonzalez, Avid; Alva-Mantari, Alicia et al.
IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings. ed. / Cristian Duran-Faundez; Gaston Lefranc; Mario Fernandez-Fernandez; Carlos Munoz; Ernesto Rubio. Institute of Electrical and Electronics Engineers Inc., 2018. 8609744 (IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings).

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

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AU - Delgado-Rivera, Gerson

AU - Roman-Gonzalez, Avid

AU - Alva-Mantari, Alicia

AU - Saldivar-Espinoza, Bryan

AU - Zimic, Mirko

AU - Barrientos-Porras, Franklin

AU - Salguedo-Bohorquez, Mario

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Conventional methods to diagnose anemia require a blood draw. This generates a great problem in patients due to the fear of contracting a disease through syringes, or sensitivity to this element. The palpebral conjunctiva is an indicator of diseases such as the hordeolum, chalazion, marginal blepharitis, bacterial conjunctivitis, trachoma, and anemia. The palpebral conjunctiva pallor is an indicator of anemia and if we wanted to develop an automatic system, for the non-invasive diagnosis of anemia based on the analysis of photographs of the palpebral conjunctiva, we would need algorithms for the segmentation and analysis of this membrane. In this sense, this research proposes and develops a method for the automatic segmentation of the palpebral conjunctiva using an Android application and image processing techniques. As a result, the success of this segmentation method is 92.2%.

AB - Conventional methods to diagnose anemia require a blood draw. This generates a great problem in patients due to the fear of contracting a disease through syringes, or sensitivity to this element. The palpebral conjunctiva is an indicator of diseases such as the hordeolum, chalazion, marginal blepharitis, bacterial conjunctivitis, trachoma, and anemia. The palpebral conjunctiva pallor is an indicator of anemia and if we wanted to develop an automatic system, for the non-invasive diagnosis of anemia based on the analysis of photographs of the palpebral conjunctiva, we would need algorithms for the segmentation and analysis of this membrane. In this sense, this research proposes and develops a method for the automatic segmentation of the palpebral conjunctiva using an Android application and image processing techniques. As a result, the success of this segmentation method is 92.2%.

KW - Android application

KW - Anemia

KW - Image processing

KW - Palpebral conjunctiva

KW - Segmentation method

UR - https://www.scopus.com/pages/publications/85062171155

U2 - 10.1109/ICA-ACCA.2018.8609744

DO - 10.1109/ICA-ACCA.2018.8609744

M3 - Contribución a la conferencia

AN - SCOPUS:85062171155

T3 - IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings

BT - IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control

A2 - Duran-Faundez, Cristian

A2 - Lefranc, Gaston

A2 - Fernandez-Fernandez, Mario

A2 - Munoz, Carlos

A2 - Rubio, Ernesto

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018

Y2 - 17 October 2018 through 19 October 2018

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Delgado-Rivera G, Roman-Gonzalez A, Alva-Mantari A, Saldivar-Espinoza B, Zimic M, Barrientos-Porras F et al. Method for the automatic segmentation of the palpebral conjunctiva using image processing. In Duran-Faundez C, Lefranc G, Fernandez-Fernandez M, Munoz C, Rubio E, editors, IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8609744. (IEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0 - Proceedings). doi: 10.1109/ICA-ACCA.2018.8609744

Method for the automatic segmentation of the palpebral conjunctiva using image processing

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Keywords

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