Robust detection and removal of dust artifacts in retinal images via dictionary learning and sparse-based inpainting

Retinal images are acquired with eye fundus cameras which, like any other camera, can suffer from dust particles attached to the sensor and lens. These particles impede light from reaching the sensor, and therefore they appear as dark spots in the image which can be mistaken as small lesions like mi...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/9186
Acceso en línea:
https://hdl.handle.net/20.500.12585/9186
Palabra clave:
Artifact detection
Dictionary learning
Dust particle
Inpainting
Retinal image
Sensor artifact.
Blood vessels
Cameras
Dust
Ophthalmology
Artifact detection
Dictionary learning
Dust particle
Inpainting
Retinal image
Pattern recognition
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/