Paper Info
Title
Localization and extraction of the optic disc using the fuzzy circular hough transform
Abstract
This paper presents an algorithm for automatic extraction of the optic disc in retinal images. The developed system consists of two main parts. Firstly, the localization of the region containing the optic disc is performed by means of a clustering algorithm. Then, in order to extract the optic disc, the fuzzy circular Hough transform is applied to the edges of the region. The optic disc might not be extracted since there are vessels in the inside of the optic disc. To avoid this, a crease extraction algorithm is applied to the retinal image. The vessels are extracted and the vessel edge points contained in the edge image are removed. The final system was tested by ophthalmologists. The localization of the region of interest is correct in 100% of the cases and the extraction of the optic disc is obtained in 98% of the cases.
Year
DOI
Venue
2006
10.1007/11785231_74
ICAISC
Keywords
Field
DocType
retinal image,fuzzy circular hough,final system,automatic extraction,crease extraction algorithm,vessel edge point,optic disc,developed system,edge image,clustering algorithm,region of interest,hough transform
Computer vision,Pattern recognition,Edge detection,Computer science,Retina,Fuzzy logic,Hough transform,Retinal image,Optic disc,Artificial intelligence,Region of interest,Cluster analysis
Conference
Volume
ISSN
ISBN
4029
0302-9743
3-540-35748-3
Citations 
PageRank 
References 
7
0.67
6
Authors
5
Name
Order
Citations
PageRank
M. Blanco170.67
Manuel G. Penedo228424.93
Noelia Barreira318217.47
M. Penas470.67
María J. Carreira51349.81