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...
- 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/