Optic disc and macula detection in fundus images by means of template matching

Various methods for detecting optic disc and macula in fundus images have been developed. Our aim is to propose a fairly easy method for detecting both features jointly. This is achieved by first correcting in homogenous luminosity using a polynomial approximation of the background of the images. Se...

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Published in2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2014; pp. 134 - 137
Main Authors Garduno-Alvarado, Tzolkin, Martinez-Perez, M. Elena, Martinez-Castellanos, Maria A., Rodriguez-Quinones, Luvia, Salinas-Longoria, Samantha M.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2014
Subjects
Algorithms
Biomedical optical imaging
Diabetes
Diabetic Retinopathy - diagnosis
Fundus Oculi
Humans
Image color analysis
Image Interpretation, Computer-Assisted
Macula Lutea - pathology
Optic Disk - pathology
Optical imaging
Polynomials
Retina
Sensitivity and Specificity
Training
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ISSN1094-687X
1557-170X
DOI10.1109/EMBC.2014.6943547

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Summary:Various methods for detecting optic disc and macula in fundus images have been developed. Our aim is to propose a fairly easy method for detecting both features jointly. This is achieved by first correcting in homogenous luminosity using a polynomial approximation of the background of the images. Secondly, the use of the cross-correlation in the frequency domain between the images and a steerable template which contains both structures. The 38 photographs used in this work belong to a local database of patients suffering diabetic retinopathy along its four severity stages. Our results showed 100% optic disc centers located within the OD area and 90% macula centers located within the MC area.
ISSN:1094-687X
1557-170X
DOI:10.1109/EMBC.2014.6943547