Procesamiento de Imágenes Digitales para el Análisis de Enfermedades Oculares

Johan Yerzinio Guerra Tacca, Eveling Gloria Castro Gutierrez

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Currently, eye diseases are a serious problem in our society, their incidence and prevalence are constantly growing. Worldwide, it is estimated that approximately 1.3 billion people live with visual impairment, 39 million are blind, of which 80% of all cases could have been avoided. Digital image processing is the set of techniques that are applied to images, to improve quality or facilitate the search for information within them. One of the main areas that are gaining importance in the implementation of these techniques is medicine because, with this processing, assistance can be given in the diagnosis of different eye diseases. The objective of this work is to be able to assist in the diagnosis of eye diseases using pre-processing, segmentation, extraction of characteristics and classification of these images. When evaluating 120 images, the result obtained from the processing gave us 86.63% accuracy when detecting possible eye disease.

Título traducido de la contribuciónDigital image processing for the analysis of eye diseases
Idioma originalEspañol
Título de la publicación alojada18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtítulo de la publicación alojada"Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020
EditorialLatin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)9789585207141
DOI
EstadoPublicada - 2020
Evento18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020 - Virtual, Online
Duración: 27 jul. 202031 jul. 2020

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (versión digital)2414-6390

Conferencia

Conferencia18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020
CiudadVirtual, Online
Período27/07/2031/07/20

Nota bibliográfica

Publisher Copyright:
© 2020 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.

Palabras clave

  • CLAHE
  • Feature extraction
  • Guided Filter
  • Image classification
  • Image pre-processing
  • Image segmentation
  • SVM
  • Unsharp Masking

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