DocumentCode
2346726
Title
Optic cup and disk extraction from retinal fundus images for determination of cup-to-disc ratio
Author
Liu, J. ; Wong, D.W.K. ; Lim, J.H. ; Jia, X. ; Yin, F. ; Li, H. ; Xiong, W. ; Wong, T.Y.
Author_Institution
Inst. for Infocomm Res., A*STAR (Agency for Sci., Technol. & Res.), Singapore
fYear
2008
fDate
3-5 June 2008
Firstpage
1828
Lastpage
1832
Abstract
The ratio of the optic cup to disc (CDR) in retinal fundus images is one of the principal physiological characteristics in the diagnosis of glaucoma. Currently the CDR is manually determined which can be subjective and limits its use in mass screening. To automatically extract the disc, a variational level set method is proposed in this paper. For the cup, two methods making use of color intensity and threshold level set are evaluated. A batch of 73 retinal images from the Singapore Eye Research Centre was used to assess the performance of the determined CDR to the clinical CDR, and it was found that the threshold and variational level set methods produced 97% accuracy in the determined CDR results, an 18% improvement over the color intensity method. The results indicate potential applicability of the methods for automated and objective mass screening for early detection of glaucoma.
Keywords
biomedical optical imaging; eye; image colour analysis; image segmentation; medical image processing; vision defects; Singapore eye research centre; automated mass screening; clinical CDR; color intensity method; disk extraction; glaucoma detection; glaucoma diagnosis; level-set algorithms; objective mass screening; optic cup segmentation; optic cup-to-disc ratio determination; optic disc segmentation; principal physiological characteristics; retinal fundus images; threshold level set; variational level set method; Aging; Biomedical optical imaging; Blindness; Head; Image segmentation; Level set; Noise reduction; Optical noise; Pixel; Retina;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1717-9
Electronic_ISBN
978-1-4244-1718-6
Type
conf
DOI
10.1109/ICIEA.2008.4582835
Filename
4582835
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