Authors:
C. Mariño
1
;
M. G. Penedo
1
;
S. Pena
1
and
F. González
2
Affiliations:
1
VARPA Group, Faculty of Informatics, University of A Coruña, Spain
;
2
School of Medicine and Complejo Hospitalario Universitario of Santiago, University of Santiago de Compostela, Spain
Keyword(s):
Creases, correlation filter, macula, optic disk, deformable model.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
Abstract:
The fovea is a spot located in the center of the macula, and responsible for sharp central vision. In this paper a method to detect the macula location and size is presented, as a first step towards the fovea location.In the first stage of the process, the retinal vessel tree is extracted through a crest line detector. Then, the main vessel arc is fitted to a parabolic curve using a polynomial fitting process, which will allow for the computation of the area where the optic disc is located. The last stage consists in the segmentation of the optic disc, by means of the combination of morphological operations and a deformable model. Then, following the morphological properties of the eye, the macula location and size is determined by means of a new correlation filter. Search with this filter is performed in a reduced area of interest, whose size and position is determined by means, again, of the morphological properties of the eye. The algorithm has proven to be fast and accurate in th
e set of test images, composed of 135 digital retinal images.
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