Implementation of Image Processing in Matlab for Prediagnosis in Ophthalmology

Autores/as

  • Acosta Solorzano, Williams fernando
  • Temple Montoya, Lucero Rubi
  • Puentes Paco, Sharon Eileen

DOI:

https://doi.org/10.18687/LACCEI2023.1.1.551

Palabras clave:

Matlab, image processing, prediagnosis, sensor

Resumen

This research seeks to explain the implementation of image processing in Matlab and its relationship with the prediagnosis of eye problems as a basis for automating the process of medical image analysis in this field. The pandemic has generated a worldwide health crisis, but in our country a significant impact on the outcome of teleconsultations has been observed, since the challenge lies in the lack of clarity when visualizing the patient's eye through a screen. Therefore, we propose the application of a single-person booth that will allow real-time capture of the patient's eye and its respective analysis. In addition, to avoid contact, an infrared sensor was implemented to detect the entry of people into the booth. Finally, the processing techniques give us a clear picture and demonstrate that the project can be adapted to specific situations with the knowledge of mechatronic and biomedical engineering.

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Publicado

2023-07-27

Número

Sección

Articles

Licencia

Licencia Creative Commons

Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.

LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).

Cómo citar

Acosta Solorzano, Williams fernando, Temple Montoya, Lucero Rubi, & Puentes Paco, Sharon Eileen. (2023). Implementation of Image Processing in Matlab for Prediagnosis in Ophthalmology. LACCEI, 1(8). https://doi.org/10.18687/LACCEI2023.1.1.551