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...

Full description

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/