Automatic Detection of Fovea in Retinal Images Using Fusion of Color Bands

This paper presents a new method for fovea detection in color retinal images. Automatic detection of this anatomical structure is a prerequisite for computer aided diagnosis of several retinal diseases, such as macular degeneration. The proposed algorithm detects the macula center by determining a r...

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Bibliographic Details
Published inProceedings - Brazilian Symposium on Computer Graphics and Image Processing pp. 119 - 124
Main Authors Veras, Rodrigo de Melo Souza, Medeiros, Fatima Nelsizeuma Sombra de, Silva, Romuere Rodrigues Veloso e, Aires, Kelson
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.08.2014
Subjects
Algorithms
Automation
Biomedical imaging
Blood vessels
Channels
Color
Fovea
fovea detection
Image color analysis
Optical imaging
Pathology
Retina
Retinal images
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ISSN1530-1834
1530-1834
DOI10.1109/SIBGRAPI.2014.17

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Summary:This paper presents a new method for fovea detection in color retinal images. Automatic detection of this anatomical structure is a prerequisite for computer aided diagnosis of several retinal diseases, such as macular degeneration. The proposed algorithm detects the macula center by determining a region of interest (ROI) and taking into account optic disk (OD) coordinates and the fact that the central region, i.e. fovea, is a homogenous dark area without blood vessels. Our segmentation algorithm searches for the lowest mean color intensity window in the enhanced image that results from a fusion between the red and green channels. Then, tests were carried on three public benchmark databases, which constitute a total of 254 images.
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ISSN:1530-1834
1530-1834
DOI:10.1109/SIBGRAPI.2014.17