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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationIEEE ICA-ACCA 2018 - IEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control
Subtitle of host publicationTowards an Industry 4.0 - Proceedings
EditorsCarlos Munoz, Gaston Lefranc, Mario Fernandez-Fernandez, Ernesto Rubio, Cristian Duran-Faundez
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538655863
DOIs
StatePublished - Jan 10 2019
Externally publishedYes
EventIEEE 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: Oct 17 2018Oct 19 2018

Publication series

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

Conference

ConferenceIEEE International Conference on Automation/23rd Congress of the Chilean Association of Automatic Control: Towards an Industry 4.0, ICA-ACCA 2018
CountryChile
CityGreater Concepcion
Period10/17/1810/19/18

Keywords

  • Android application
  • Anemia
  • Image processing
  • Palpebral conjunctiva
  • Segmentation method

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation

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  • Cite this

    Delgado-Rivera, G., Roman-Gonzalez, A., Alva-Mantari, A., Saldivar-Espinoza, B., Zimic, M., Barrientos-Porras, F., & Salguedo-Bohorquez, M. (2019). Method for the automatic segmentation of the palpebral conjunctiva using image processing. In C. Munoz, G. Lefranc, M. Fernandez-Fernandez, E. Rubio, & C. Duran-Faundez (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.. https://doi.org/10.1109/ICA-ACCA.2018.8609744