Detection and removal of dust artifacts in retinal images via sparse-based inpainting
Dust particle artifacts are present in all imaging modalities but have more adverse consequences in medical images like retinal images. They could be mistaken as small lesions, such as microaneurysms. We propose a method for detecting and accurately segmenting dust artifacts in retinal images based...
- Autores:
-
Barrios, Erik
Sierra, Enrique
Romero, Lenny A.
Millán, María S.
Marrugo Hernández, Andrés Guillermo
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/10414
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/10414
- Palabra clave:
- Artifact detection
Dust particle
Retinal image
Fundus image
Image restoration
Dictionary learning
Inpainting
Sensor artifact
Sparse representation
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/