On the illumination compensation of retinal images by means of the bidimensional empirical mode decomposition
Retinal images are used for diagnostic purposes by ophthalmologists. However, despite controlled conditions in acquisition retinal images often suffer from non-uniform illumination which hinder their clinical use. In this work we propose the compensation of the illumination by modeling the intensity...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2015
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9025
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9025
- Palabra clave:
- Empirical mode decomposition
Fundus photography
Illumination compensation
Image enhancement
Medical image
POphthalmology
Retinal image
Bioinformatics
Diagnosis
Image enhancement
Information science
Ophthalmology
Bi dimensional empirical mode decomposition (BEMD)
Bi-dimensional empirical mode decompositions
Empirical mode decomposition
Estimation and compensation
Fundus photography
Illumination compensation
Non-uniform illumination
Retinal image
Medical imaging
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
Summary: | Retinal images are used for diagnostic purposes by ophthalmologists. However, despite controlled conditions in acquisition retinal images often suffer from non-uniform illumination which hinder their clinical use. In this work we propose the compensation of the illumination by modeling the intensity as a sum of non-stationary signals using bidimensional empirical mode decomposition (BEMD). We compare the estimation and compensation of the background illumination with a widely used technique based retinal image pixel classification. The proposed method has shown to provide a better estimation of the background illumination, particularly in complicated areas such as the optic disk (usually bright) and the periphery of fundus images (usually dim). © 2015 SPIE. |
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